Senior Director of AI Solutions & Delivery at BlueMachines.ai

Location: Bengaluru (WFO)Experience: 10–15 years in B2B or Enterprise AI/SaaS environmentsFunction: Chief Operating OfficerAbout BlueMachines.aiBlueMachines.ai specializes in developing cutting-edge voice AI solutions tailored for enterprise workflows. We create and implement conversational AI agents powered by Generative AI, enabling businesses to automate valuable interactions across diverse sectors including banking, finance, insurance, travel, education technology, and business process outsourcing.The RoleAs the Senior Director of AI Solutions & Delivery, you will spearhead a dedicated team focused on transforming the BlueMachines platform into successful, scalable enterprise implementations. This pivotal role combines product implementation, solution design, and delivery management. You will oversee customer delivery outcomes from start to finish, ensuring a scalable delivery model that maintains product integrity and incorporates real-world feedback into our platform.This position goes beyond traditional customer success roles, as success will be evaluated based on time-sensitive project outcomes rather than relationship management. Trust in voice AI is established through effective delivery, and you will ensure that our promises translate into reliable customer experiences at scale.

Position: Director of Product Management - AI SolutionsAbout Paytm Intelligence (Pi)At Paytm, we strive to enhance the intelligence of our systems, making them capable of performing tasks beyond current human limitations. Our goal with Paytm Intelligence (Pi) is to leverage automated decision-making to drive efficiency and minimize errors, giving us a significant edge in the competitive landscape. In recent years, our relentless pursuit of innovation has resulted in the automation of various processes, leading to enhanced user experiences and operational efficiencies. This unique opportunity allows us to address large-scale challenges while ensuring security and compliance.We have developed several essential components, including our AI Agentic Platform, a foundational model for payments and credit, a voice-enabled interaction stack, and an advanced DIY feature engineering toolkit.Our mission is to create a comprehensive suite of AI-driven solutions for enterprises and small businesses that empower them with innovative products. Our initiatives, such as the QR code and soundbox, have already transformed the merchant experience, and we are excited to extend this impact with our upcoming agentic products.If you are passionate about leveraging AI to make a difference, we invite you to explore this opportunity further.What We Are BuildingWe are constructing a full-stack AI Agentic Platform that facilitates customer, sales, and internal workflows seamlessly. Key capabilities include:* Multi-agent, multi-modal customer interactions.* Agents capable of managing decision hubs.* Evaluation engines for scoring and diagnosing interactions.* Insight generation from chat interactions to refine SOPs, tools, and products.

Cognite is leading the charge in industrial digitalization, developing innovative AI and data solutions that tackle some of the world's most challenging and impactful issues. With an unparalleled industrial legacy and a robust suite of AI capabilities, including low-code AI agents, Cognite is dedicated to accelerating digital transformation to enhance operational efficiency.Our ambitious goal is to unlock $100 billion in customer value by 2035 and revolutionize the functioning of global industries.

The AI Solutions Analyst serves as a vital link between business requirements and technical implementation. In this role, you will manage incoming requests for AI agents and automation solutions, meticulously document requirements, design conversation flows, and ensure the engineering team is well-equipped to deliver optimal solutions. This position combines business analysis expertise with AI knowledge and enough technical insight to facilitate effective communication with engineers. You will collaborate with stakeholders to comprehend their needs, translate them into actionable specifications, and oversee the delivery process. If you thrive on deeply understanding challenges and empowering teams for success, this opportunity is perfect for you. Key Responsibilities:Requirements & AnalysisCollect and document business requirements for AI agents and automation initiatives.Convert business needs into clear, actionable specifications.Establish acceptance criteria and success metrics.Identify necessary data inputs, outputs, and integration requirements.Determine when existing Foundation Layer capabilities can meet requirements.Conversation DesignCreate conversation flows for agents and chatbots.Define agent behaviors, personas, and limitations.Map user journeys and interaction patterns.Specify agent handling for edge cases and errors.Intake & TriageOversee the intake process for new solution requests.Prioritize requests based on complexity, urgency, and dependencies.Identify opportunities to leverage existing capabilities.Coordinate defect routing with QA and engineering teams.Stakeholder CoordinationCollaborate with business users to understand their needs and constraints.Facilitate discussions to clarify requirements and resolve ambiguities.Coordinate user acceptance testing (UAT) with stakeholders.Provide status updates and manage stakeholder expectations.Quality & DocumentationAssist QA by clarifying requirements and expected outcomes.Develop test scenarios that mimic real user interactions.Maintain comprehensive documentation for solutions and business processes.Contribute to data governance considerations regarding data quality, access, and privacy. What We're BuildingThe AI Engineering team is dedicated to delivering intelligent solutions for AGS's global clients:Intelligent Agents — Conversational AI designed to assist hiring managers, recruiters, and internal teams in achieving efficiency.Agentic Workflows — Automated processes where AI executes tasks under human oversight.Foundation Capabilities — Reusable AI services that support multiple solutions.In this role, you will ensure that these solutions address the right challenges—clearly defined, well-documented, and effectively implemented.

About Nightfall AI:Nightfall AI is an innovative platform at the forefront of data loss prevention and insider risk management, designed to safeguard sensitive information across a wide range of applications including SaaS tools, email, endpoint devices, and generative AI technologies. Trusted by hundreds of clients, from pioneering AI companies to the world's leading financial institutions, we empower organizations to pursue innovation without compromising on data security. Our cutting-edge platform automates data loss prevention, allowing security teams to focus on strategic initiatives while automatically addressing violations before they escalate into incidents.Supported by prominent venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and esteemed cybersecurity leaders, Nightfall AI is positioned for rapid growth and innovation.About the Role:We are looking for a dedicated and talented AI Engineer to join our dynamic AI Engineering team at Nightfall AI. You will collaborate with a team of exceptional engineers to design, develop, and optimize the AI models that are integral to our security solutions. This role offers the opportunity to work on the architecture and scalability of systems that underpin these models.If you have a passion for tackling complex challenges, experimenting with natural language processing architectures, and diving deep into system internals to create impactful solutions, this is an exciting opportunity to join us early in our journey and accelerate your career growth. Key ResponsibilitiesDevelop and deploy AI systems that enhance Nightfall's security offerings.Utilize Python for data analysis, experimentation with natural language and other model architectures, model benchmarking, and automation of training and deployment processes.Employ Go to create microservices that efficiently handle data ingestion and processing at scale, leveraging advanced streaming infrastructure and distributed caching techniques.Engage in cross-functional collaboration to enhance the performance and capabilities of our products.

Job DescriptionAbout apnaSince its inception in 2019, apna has successfully linked over 60 million job seekers with more than 250,000 enterprises and small businesses across India. Founded by Nirmit Parikh, a Stanford alumnus and serial entrepreneur who identified the challenges within entry-level hiring, apna has swiftly transformed into India’s fastest unicorn, achieving this remarkable feat in just 21 months in 2021.Supported by prestigious global investors including Insight Partners, Tiger Global, Lightspeed India, Sequoia Capital, and GSV, we are dedicated to revolutionizing livelihood creation across the nation.Role OverviewWe are in search of a highly skilled Solutions Architect who possesses a unique ability to combine technical expertise with customer-centric empathy. This individual will be responsible for designing robust and scalable technical architectures for our clients, spearheading InfoSec and compliance discussions with enterprise customers, and providing strategic advice on intricate integrations between client systems and the Blue Machines AI platform.The ideal candidate will exhibit a blend of technical architectural proficiency, knowledge of security and compliance regulations, and effective client communication skills to translate business requirements into actionable and production-ready AI solutions.Key ResponsibilitiesSolution Design & ArchitectureDevelop comprehensive end-to-end AI deployment frameworks encompassing voice, chat, video integrations, edge agents, data pipelines, and more.Create detailed technical architecture diagrams illustrating GCP/Azure/AWS topologies, VPC designs, microservice call flows, and integration bridges.Assess client environments and recommend suitable integration architectures such as SIP/WebRTC, CRM connectors, and ATS systems.Facilitate Proof of Concepts (PoCs) and pilot projects, guiding client teams and internal developers in architectural decisions.Security, Compliance & ScalabilityLead discussions regarding InfoSec with enterprise clients, addressing concerns related to data residency, encryption, authentication, logging, and auditability.Ensure alignment of deployments with industry standards such as SOC 2, ISO 27001, CIS, and GDPR/DPDP requirements.Collaborate with Apna’s Security and Platform Engineering teams to guarantee secure, compliant, and high-availability deployments.Contribute to Business Continuity Planning (BCP) and Disaster Recovery (DR) design, as well as define Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO).Technical Consultation & Customer SuccessConvert customer requirements into comprehensive solution proposals and integration playbooks.Conduct presentations and engage with stakeholders to deliver insights on technical solutions.

Join Allegis Global Solutions as we establish our AI Engineering team from the ground up! We are seeking a dynamic Engineering Manager, AI Solutions to drive team health, delivery capacity, and career development for our engineering team based in India. This role focuses on people management, ensuring your team can perform at their best through effective hiring, removing obstacles, fostering growth, and cultivating a high-performance engineering culture. You will lead a diverse team of AI Solutions Engineers, AI Quality Engineers, and AI Solutions Analysts, scaling from a small group to over 20 professionals. Together, you will create intelligent agents, conversational interfaces, and reusable AI capabilities for AGS's global clientele.Key Responsibilities:Team Leadership & DevelopmentBuild and guide a high-performing engineering team (up to 20+ members)Oversee hiring, onboarding, performance management, and career developmentConduct regular one-on-ones, offer coaching, and create professional growth opportunitiesPromote a culture of ownership, continuous learning, and engineering excellenceCollaborate with the Lead AI Solutions Engineer to provide engineers with necessary technical supportDelivery ManagementGuarantee reliable delivery within agreed timelinesManage capacity planning, workload distribution, and resource allocationMonitor team health metrics and facilitate ongoing improvementProactively remove obstacles and escalate issues before they escalateBalance delivery expectations with a sustainable work paceHiring & Team BuildingImplement our hiring philosophy: prioritize software engineering fundamentals over certificationsCreate a team with complementary skills across AI/ML, data engineering, platform, and full-stack developmentConduct effective interview processes and make informed hiring decisionsOnboard new team members effectively to ensure their successStakeholder CoordinationCollaborate with the Head of AI Engineering on project priorities and roadmapCoordinate with business stakeholders regarding delivery expectationsCommunicate team status, risks, and achievements to leadershipWork across time zones with North American leadership (U.S. Eastern time overlap required)Operational ExcellenceEstablish and enhance team processes (agile ceremonies, code review, deployment)Promote the adoption of engineering best practices and standardsManage the team budget and resource planningEnsure compliance with AGS governance and security requirements

Extensive experience in developing systems based on Large Language Models (LLMs) including retrieval systems, agents, workflow orchestration, and API integration.Proficiency in Python and/or Java, along with one enterprise framework such as Azure OpenAI, AWS Bedrock, or similar.Capability to design reusable components for document intelligence, workflow automation, and AI copilots.Understanding of vector databases, embeddings, evaluation frameworks, and best practices in prompt engineering.Designing and implementing guardrails, safe execution patterns, and quality control measures.Familiarity with cloud platforms, microservices architecture, serverless computing, and DevOps methodologies.Adept at translating business challenges into scalable AI solutions.

Join Our Team as an AI Product Operations & Solutions SpecialistPositions Available: Associate | Senior Associate | LeadTackling the $2 Trillion Challenge with Cutting-Edge AI SolutionsVoice processes are the backbone of today's global economy, with call centers, customer support, sales, and collections driving significant investments. Every year, $1-2 trillion is spent on human interactions that AI can now efficiently automate.Voice AI is at the forefront of transformation. Organizations are eager to automate their customer interactions, sales processes, support functions, and operations. The infrastructure you develop now will shape the operational landscape for the next decade. This is your opportunity to be part of a groundbreaking shift.Blue Machines is revolutionizing the industry. We are the fastest-growing enterprise Voice AI platform, deploying intelligent AI solutions for India's largest airlines, banks, mutual funds, and retail chains. Our production systems manage millions of conversations seamlessly, including a live debate hosted by Arnab Goswami and automating mutual fund sales for a $10 billion institution.With global scaling and backing from top investors such as Lightspeed, Peak XV, Insight Partners, Tiger Global, Greenoaks, Maverick Ventures, Owl Ventures, and GSV, we are poised for exponential growth.What Does AI Product Operations & Solutions Entail?Picture yourself as a Forward Deployed Engineer at Palantir, but specializing in conversational AI.You will work directly with enterprise clients across sectors such as aviation, FMCG, and banking, designing AI agents that manage their most intricate workflows at scale, ensuring compliance and performance under pressure.Your role encompasses various domains: Consulting × Product Operations × Customer Management × Prompt Design × AI Evaluations × Analytics × Systems Integration & Workflows.You are not merely developing AI agents; you are crafting the **voice** of enterprises, shaping their customer interactions, operational workflows, and business results.Utilizing Blue Machines' advanced proprietary platform, you will have access to:Industry-leading infrastructureMinimal latency in voice AIAdvanced orchestration with top-tier modelsBuilt-in safeguards and disaster recoveryWorkflow creation tools with complex business and technical logicEvaluation platform for analytics and observabilityEnterprise-grade scalability and reliabilityEnglish as your programming language, with context as your codeKeys to Your SuccessPose insightful questions before jumping to solutionsThrive in ambiguity and take ownership of problems from start to finishFocus on outcomes rather than jargonCommunicate effectively in writing (updates, documents, change notes)Continuously iterate - test, learn, improve, and deliver weeklyThink in systems - recognize workflows, dependencies, and leverage pointsMaintain a deep curiosity about AIWhy This Role is Career-DefiningBe part of a transformative journey in AI and voice technology

Role Overview Accellor is hiring a Senior AI Product Manager in Bengaluru, Karnataka. This role centers on building and launching enterprise AI products for a global client base. The position blends product strategy, hands-on AI work, and close collaboration with both clients and internal teams. Success here requires navigating ambiguity, shaping ideas into working solutions, and supporting clients as they adopt new AI-driven approaches. What You Will Do Own the full product lifecycle for enterprise AI applications, from concept to release and adoption. Work directly with clients and internal teams to identify business problems, frame opportunities, and turn them into actionable requirements and delivery plans. Design AI-first user experiences, including copilots, assistants, agent workflows, decision-support tools, and human-in-the-loop enterprise applications. Transform ambiguous needs into clear product documentation: problem statements, user journeys, PRDs, acceptance criteria, prioritization frameworks, and release scopes. Partner with engineering, UX, architecture, and delivery teams to ensure product vision becomes practical, scalable solutions. Facilitate workshops, requirement discovery sessions, stakeholder reviews, demos, and alignment meetings with enterprise clients and senior stakeholders. Create lightweight prototypes, proof-of-concept models, and product mockups using modern AI tools, no-code/low-code methods, and basic design techniques as needed. Define and refine AI use cases involving agents, orchestration, retrieval, workflow automation, and integration with enterprise systems. Maintain strong attention to detail across business requirements, product functionality, user experience, and delivery quality. Manage client expectations by balancing ambitious goals with technical feasibility, timelines, and delivery constraints. Support value realization and account growth by spotting opportunities for enhancement. Who Thrives Here This role fits someone with deep knowledge of GenAI applications and agentic patterns in enterprise contexts. Comfort with uncertainty, the ability to prototype and validate ideas quickly, and a willingness to move between strategy and detailed execution are important. Consulting experience and a track record of building trust with clients will help in this position. Location Bengaluru, Karnataka, India

About Nightfall:Nightfall is an innovative, AI-driven platform focused on data loss prevention and insider risk management, safeguarding sensitive information across various SaaS applications, Generative AI tools, email systems, endpoint devices, and beyond. Trusted by hundreds of clients, from groundbreaking AI startups to major financial institutions, Nightfall excels at detecting and halting data exfiltration on a large scale. Our platform empowers organizations to innovate without the fear of losing intellectual property or jeopardizing customer information. With automated remediation capabilities, security violations are addressed proactively before escalating into incidents, while end-users receive real-time training and support to rectify any violations they may introduce.Backed by top venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, Nightfall is further strengthened by cybersecurity veterans including Enrique Salem (former CEO of Symantec), Frederic Kerrest (founder of Okta), and others.About the Role:We are seeking an outstanding technical leader to join our dynamic team at Nightfall. In the capacity of Lead Applied Scientist within the AI Engineering division, you will be responsible for developing machine learning and natural language processing models, as well as Generative AI solutions to enhance our Data Leak Protection (DLP) and other security offerings. You will spearhead efforts in researching and implementing machine modeling techniques to address security challenges, providing mentorship to both ML and Backend engineers as they move systems into production. Your contributions will be vital in shaping the long-term architecture of our AI Platform.This is a hybrid position (2 days in the office) based in our Bengaluru office, offering an ideal opportunity to pursue your passion for Data Science and ML engineering.Responsibilities:Engage in fast-paced, hands-on execution, collaborating with the team to achieve clear business objectives and deliver results effectively.Employ creative statistical and machine learning modeling techniques to address complex problems in enterprise security and data leak detection, researching the most accurate and cost-efficient solutions.Develop, train, and optimize NLP, large language, and other models for deployment in extensive, real-time environments.Collaborate with the team to transition model prototypes into production through all phases of the ML lifecycle: system architecture, data generation, training, and deployment.

Join Saviynt, a leader in identity security, as an AI Scientist and help shape the future of AI-driven identity management. Our cutting-edge platform ensures secure access to applications and data for both human and non-human entities, safeguarding digital assets while optimizing operational efficiency for organizations worldwide.In this pivotal role, you will develop a risk identity model for AI agents, enabling them to assess whether their actions align with their designated identities. This initiative is crucial for customers seeking robust identity security in the age of AI. As part of the AI Research Team at Saviynt, you will engage in creating and validating machine learning and language model solutions, collaborating closely with engineering to deploy these models into production. Your contributions will directly enhance our customers' security posture and drive the broader AI initiatives across our organization.

FEQ227R52 As a Solutions Architect specializing in Analytics, AI, Big Data, and Public Cloud, you will play a pivotal role in guiding the technical evaluation phase within a dynamic sales environment. Serving as a technical advisor to the sales team, you will collaborate closely with the product team as a strong advocate for customers in the field. Your mission will be to empower our customers to achieve significant, data-driven outcomes through the innovative use of our Databricks Lakehouse Platform, assisting data teams in completing projects and seamlessly integrating our platform into their enterprise ecosystems. This role presents an opportunity for you to grow as a leader in the industry, addressing our customers' most pressing challenges in big data, analytics, data engineering, and data science.

Role OverviewJoin us as a Forward Deployed Engineer (FDE) at Galileo Technologies, where your expertise will directly influence the success of our top-tier clients through customized technical solutions harnessing generative AI. This dynamic, customer-facing role emphasizes advanced backend engineering, innovative problem-solving, and strategic product development. Collaborate closely with our Head of Field Engineering, AI engineers, and customer project managers to optimize workflows, create tailored integrations, and drive swift advancements towards deploying production-ready solutions.Key ResponsibilitiesEngage with clients to identify their business challenges and architect scalable AI-driven solutions.Develop bespoke features, integrations, and workflows utilizing state-of-the-art AI technologies (e.g., OpenAI Agents SDK, LangGraph, CrewAI).Work alongside client engineering and project management teams to implement solutions and guarantee ongoing success.Regularly monitor, communicate, and synchronize workstreams with internal and external stakeholders.Travel to client sites to foster a deep understanding of their operational needs.

Join our innovative team as a Senior Generative AI Engineer for one of Weekday's esteemed clients.Salary range: ₹30,00,000 - ₹40,00,000 per annumMinimum Experience: 4 yearsLocation: BengaluruJob Type: Full-timeIn this pivotal role, you will spearhead the AI component of our product, crafting intelligent functionalities tailored for enterprise clients. Your focus will be on delivering robust, production-ready AI systems that prioritize reliability, observability, and comprehensive evaluations. You will oversee the complete process from model development to user interface, rolling out impactful features such as the CS Copilot and advanced document understanding capabilities.Key ResponsibilitiesDevelop and lead the CS Copilot initiative, focusing on speech-to-text (STT) pipelines, real-time transcription, and LLM-based recommendations.Design LLM-enabled document comprehension features to derive structured data from unstructured enterprise documentation.Oversee the end-to-end management of AI feature user interfaces, integrating model functionalities seamlessly.Create and uphold a robust evaluation framework to assess AI feature quality and identify potential regressions.Guide model selection and integration strategies, balancing performance with cost-effectiveness.Ensure the reliability of the AI platform by establishing observability, fallback protocols, and graceful degradation methods.Work collaboratively with product teams, customer success representatives, and full-stack engineers to improve usability and foster user trust.

This position is not affiliated with 2070 Health.About ContiinexContiinex stands at the forefront of AI-driven enterprise automation within the healthcare and insurance sectors. Our innovative platform is designed to comprehend unstructured conversations, documents, and workflows, allowing for the autonomous execution of complex business processes that typically require human intervention. By utilizing specialized AI agents and domain-specific language models, we are revolutionizing Revenue Cycle Management (RCM), providing scalable, compliant, and impactful automation solutions tailored for large enterprises.Role OverviewAs the AI Delivery Manager specializing in Revenue Cycle Management, you will leverage your extensive knowledge of end-to-end revenue cycle workflows combined with robust integration, compliance, and automation skills. Your leadership will guide complex, multi-million-dollar deployments of Contiinex’s AI platforms within major healthcare organizations, ensuring excellence in delivery, adherence to regulatory standards, and tangible business results.You will collaborate closely with provider leadership, payer stakeholders, and internal product and engineering teams to facilitate digital transformation through AI-enhanced speech intelligence and specialized automation driven by Service Level Management (SLM).Key ResponsibilitiesOversee the comprehensive delivery of enterprise RCM automation initiatives utilizing Contiinex’s AI platforms.Lead large-scale deployments across workflows including eligibility, prior authorization, claims processing, accounts receivable follow-ups, denial management, and payment posting.Manage intricate integrations with EHR/PM systems, payer portals, clearinghouses, telephony platforms, and enterprise data systems.Ensure adherence to HIPAA regulations, CMS guidelines, payer policies, and enterprise security protocols.Drive program governance, manage Service Level Agreements (SLAs), mitigate risks, and maintain communication with executive stakeholders.Measure and report key business outcomes such as automation ROI, improvements in accounts receivable, reductions in denials, and optimization of cost-to-collect metrics.Collaborate with product and engineering teams to convert operational needs into scalable AI solutions.QualificationsEducational Background:Bachelor’s degree in Computer Science, Engineering, or a related field.Preferred: MBA or advanced certifications in healthcare or technology.Experience and Skills:Over 8 years of experience in US Healthcare Revenue Cycle Management with a proven track record of managing end-to-end RCM delivery.Demonstrated experience in leading large-scale, multi-million-dollar enterprise programs within the healthcare or insurance sectors.Hands-on experience in orchestrating RCM transformation initiatives leveraging AI, automation, analytics, or digital solutions.In-depth understanding of front, mid, and back-end RCM workflows.Strong knowledge of payer behaviors, clearinghouse operations, and reimbursement policies.

Job Overview: Voice AI Solutions Engineer - Technical Pre-SalesLocation: Bengaluru, Mumbai, Delhi NCRTeam: Blue MachinesRole Type: Full-timeAbout Blue MachinesBlue Machines is at the forefront of developing innovative voice AI solutions tailored for enterprise workflows. We specialize in crafting and implementing conversational AI agents powered by Generative AI, enabling our clients to streamline high-value interactions across various sectors including BFSI, Commerce, and Healthcare.Role SummaryWe are in search of a talented Voice AI Solutions/Pre-Sales Engineer to collaborate closely with our enterprise sales team, driving intricate customer engagements. This position serves as the technical liaison for account executives, enhancing customer interactions through customized demonstrations and addressing complex technical inquiries.The ideal candidate will seamlessly connect technical and business discussions, translating enterprise requirements into actionable Voice AI use cases, demonstration flows, and solution architectures.Key Responsibilities● Partner with enterprise sales teams during customer meetings, discovery sessions, and technical discussions.● Engage in L2/L3 technical dialogues with business and engineering stakeholders from the customer side.● Provide tailored demonstrations that align with customer workflows and industry-specific use cases.● Design demo scenarios utilizing prompting and conversation configuration techniques.● Transform business requirements into practical Voice AI solutions and architectural designs.● Articulate system architecture, integrations, data flows, and deployment models effectively.● Assist with POCs and technical evaluations throughout the enterprise sales cycle.● Empower sales teams with enhanced technical positioning and product comprehension.Desired Qualifications● 3 to 7 years of experience in client-facing roles, including consulting, customer success, product management, implementation, account management, or pre-sales.● Exceptional communication skills with the ability to present concepts clearly and convincingly to clients.● Proficiency in understanding and conveying technical concepts such as workflows, integrations, APIs, system behavior, and solution architecture.● Hands-on experience with AI tools, agents, prompting, bot development, or workflow platforms.● Ability to correlate business needs with feasible solution strategies.● A collaborative approach with a willingness to engage across teams to facilitate deal progression.● Eagerness to work with large enterprises and navigate complex stakeholder landscapes.Additional Qualifications That Would Be Beneficial● Experience working with enterprise clients in traditional or regulated sectors such as BFSI.

Intern – AI Product Operations & Solutions (Delivery Team)Location: Bengaluru (Domlur)Mode: Work from OfficeDuration: 90 daysFull-Time Opportunity: Interns who exhibit exceptional performance during the internship may be considered for full-time roles at Blue Machines, contingent on business needs.About Blue MachinesAt Blue Machines, we are pioneering one of the fastest enterprise Voice AI platforms, deploying intelligent AI systems for leading companies across sectors such as airlines, banking, mutual funds, and retail. Our solutions operate at production scale, managing millions of genuine conversations across customer support, sales, collections, and operational processes.We are engaged in real deployments, addressing real workflows, and driving tangible business results.Role OverviewAs an Intern within the Delivery Team, your focus will be on live enterprise AI deployments, with a strong emphasis on testing, evaluating, and enhancing AI voice agents. This position intersects:AI Systems × Prompt Design × Evaluation × Workflow Mapping × AnalyticsYou will collaborate closely with the delivery and solutions team to comprehend client workflows, test conversational agents across various scenarios, analyze agent performance, and contribute to ongoing enhancements before and after deployment.Key Responsibilities1. Agent Testing & AnalysisConduct tests on AI voice agents across scenarios, edge cases, and workflow variationsIdentify issues in conversation flows, including logical errors, missed intents, compliance gaps, and hallucinationsAnalyze call transcripts and logs to derive performance insightsSupport evaluation frameworks across metrics such as accuracy, containment, latency, and adherence to expected flows2. Prompt IterationAssist in designing and refining prompts for conversational agentsExecute iterative experiments to enhance response quality, task completion rates, and user experienceDocument findings and provide recommendations based on testing outcomes3. Workflow UnderstandingMap customer journeys and conversation workflows for diverse use casesUnderstand AI agent interactions with backend systems like CRM, APIs, and telephony platformsSupport workflow configuration and logic validation during deployment cycles4. Monitoring & MetricsTrack key metrics including containment rate, drop-offs, response accuracy, and failure patternsReview agent performance dashboards and highlight areas needing optimizationAssist in transforming raw observations into actionable recommendations5. Deployment SupportAssist with QA, testing, and documentation throughout deployment cyclesHelp with change logs, issue tracking, and post-deployment optimizationCollaborate with internal teams to ensure agents meet product specifications and performance standards.

CSQ227R231 Mission The Director of Support Engineering for Data & AI based in Bengaluru will spearhead the development and management of a premier team of technical experts in Data & AI, dedicated to ensuring the resilience and seamless operation of customer production workloads. This leadership role will oversee support operations during APJ and EMEA business hours, ensuring continuous support coverage by collaborating with global teams across different regions. The team will address complex, long-standing data engineering challenges faced by Databricks customers to enhance their live use cases—covering aspects such as performance optimization, production job stability, and assisting customers in adapting to new products and features. Reporting to the Global Lead of Frontline Support Engineering - Data & AI, this role requires a deep understanding of the real-world business challenges our customers encounter with data, along with a strong commitment to aiding them in achieving reliable and high-performing systems to fulfill their objectives.

Note: This role is with Contiinex, not 2070 Health. About Contiinex Contiinex builds AI-powered automation for healthcare and insurance enterprises. The platform focuses on understanding unstructured conversations, documents, and workflows to automate complex, people-driven business processes. With advanced AI agents and domain-specific language models, Contiinex helps large organizations automate Revenue Cycle Management (RCM) at scale while maintaining compliance and measurable results. Role Overview The AI Delivery Manager for Revenue Cycle Management leads the implementation of Contiinex’s agentic AI platforms at major healthcare organizations. This position calls for deep expertise in end-to-end revenue cycle processes, integration, compliance, and automation. The manager oversees large-scale, multi-million-dollar deployments, ensuring projects meet regulatory standards and deliver strong business outcomes. Success in this role depends on strong collaboration with provider executives, payer representatives, and internal product and engineering teams. The manager helps drive digital transformation through AI-powered speech intelligence and specialized SLM automation. What You Will Do Direct enterprise RCM automation projects using Contiinex’s AI platforms from start to finish. Oversee deployments across workflows such as eligibility verification, prior authorization, claims processing, accounts receivable follow-ups, denial management, and payment posting. Facilitate integration with EHR/PM systems, payer portals, clearinghouses, telephony systems, and enterprise data infrastructure. Ensure compliance with HIPAA, CMS guidelines, payer protocols, and company security policies. Lead program governance, manage SLAs, analyze risks, and communicate with executive stakeholders. Track and report on business outcomes including automation ROI, AR improvements, denial reductions, and cost-to-collect metrics. Work with product and engineering teams to translate operational needs into scalable AI solutions. Qualifications Education Bachelor’s degree in Computer Science, Engineering, or a related discipline. MBA or advanced certifications in healthcare or technology are preferred. Experience and Skills At least 8 years in US Healthcare Revenue Cycle Management, including hands-on RCM delivery experience. Proven leadership in large, multi-million-dollar healthcare or insurance projects. Experience with RCM transformation using AI, automation, analytics, or digital platforms. Comprehensive knowledge of front-, mid-, and back-end RCM workflows. Strong understanding of payer behavior, clearinghouse operations, and reimbursement regulations. Location: Bengaluru, Karnataka, India