Applied AI Engineer

Join Anthropic as a Solutions Architect on our Applied AI team, where you'll empower innovative startups to harness the power of the Claude Developer Platform. You will be an invaluable technical partner, guiding founders and engineers to successfully architect and deploy cutting-edge LLM solutions. Collaborate with Account Executives and cross-functional teams to navigate technical discovery, build credibility, and maximize the AI capabilities for emerging businesses. Your role will include engaging with startups, providing insights, and participating in events to foster relationships and drive success.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and steerability. The team includes researchers, engineers, policy experts, and business leaders, all working together to ensure AI benefits both users and society. Role Overview The Commercial Solutions Architect, Applied AI, joins Anthropic’s Applied AI team as a Pre-Sales Architect. This role centers on demonstrating the value of Claude and helping customers integrate and deploy it within their technology stacks. The position combines technical expertise with customer engagement to design LLM solutions for complex business needs, always maintaining Anthropic’s standards for safety and reliability. As a Commercial Solutions Architect, expect to work closely with key accounts, building reusable solution blueprints, demos, and enablement materials that support the wider adoption of Claude across Anthropic’s commercial clients. Collaboration is central: work alongside Sales, Product, and Engineering teams to guide clients from early technical discovery through to deployment. Use your knowledge to help customers understand Claude’s capabilities, develop evaluation strategies, and design scalable architectures that unlock the full potential of Anthropic’s AI systems. Location San Francisco, CA or New York City, NY

Join Anthropic as a Solutions Architect specializing in Applied AI, focusing on state and local government initiatives. You will leverage cutting-edge AI technologies to develop innovative solutions that enhance public services. Collaborate with government agencies to identify challenges and implement effective AI strategies that improve efficiency and accessibility.

Be a part of our mission to redefine AI by leading innovations in document comprehension.About the PositionLlamaIndex is seeking an Applied AI Solutions Architect who thrives at the nexus of enterprise sales and technical implementation. This pivotal role is integrated into our revenue efforts—transforming skeptical engineering teams into advocates and guiding promising evaluations to successful contracts.You will manage the technical relationship from initial discovery through proof of concept, collaborating closely with Account Executives on real-time opportunities with leading AI innovators. Your role extends beyond simple product demonstrations; you will diagnose critical infrastructure issues, design tailored solutions, and cultivate trust with stakeholders who will depend on the architecture long after the agreement is finalized.Key ResponsibilitiesConduct in-depth technical evaluations, proofs of concept, and solution design sessions for enterprise clients across various industries and use cases.Collaborate closely with Account Executives to mitigate deal risks, identify technical challenges early, and establish credible pathways to success.Articulate complex AI and data infrastructure concepts effectively to both engineering teams and C-level executives in the same dialogue.Design and prototype solutions utilizing LlamaIndex's platform to meet customer demands concerning accuracy, latency, cost, and scalability.Act as the voice of the customer internally, providing insights to Product and Engineering that enhance our roadmap.Desired QualificationsSolid engineering background with hands-on experience in AI/ML systems, data pipelines, or enterprise software architecture.Proven track record in customer-facing technical roles, including pre-sales, solutions engineering, or technical consulting.Ability to operate in uncertain environments: you can define a problem, make informed assumptions, and progress without waiting for complete information.Strong go-to-market instincts—understanding what it takes to build technical consensus within a buying committee.Effective and confident communicator capable of translating system design trade-offs into business risks for executives.Prior experience with LlamaIndex or LlamaCloud is not mandatory; we value your thought process and problem-solving approach.

Join Anthropic as a Solutions Architect in our Applied AI team, where you will play a pivotal role as a Pre-Sales architect. Your mission will be to empower federal civilian agencies with the insights and technical expertise needed to harness the full potential of our AI system, Claude. You will bridge the gap between complex technical solutions and customer needs, ensuring smooth integration and deployment within their technology frameworks. Collaborating closely with Sales, Product, and Engineering teams, you will guide clients from initial discovery through to successful implementation, helping them understand the capabilities of Claude and designing innovative architectures that address their unique challenges while adhering to our stringent safety and reliability standards.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and effective guidance. The company’s mission is to make AI safe and beneficial for both users and society. The team includes researchers, engineers, policy experts, and business leaders, all working together to create AI that serves humanity’s needs. Beneficial Deployments Initiative The Beneficial Deployments initiative works to bring AI technology to communities that can benefit most. Anthropic partners with nonprofits, foundations, and mission-driven organizations, using Claude to support sectors like education, global health, economic mobility, and life sciences. The goal: help organizations address some of humanity’s toughest challenges. Role Overview: Global Leader, Applied AI Architects for Beneficial Deployments This role leads the Applied AI Architects team, which serves as the main technical partner for nonprofits and mission-driven organizations deploying Claude. The leader will build and grow a globally distributed team, helping turn advanced AI into practical solutions in areas such as education, health, and economic opportunity. The position also shapes how Anthropic approaches and executes key societal partnerships. What You Will Do Grow and guide a team of Applied AI Architects supporting mission-driven organizations worldwide Set the vision for scaling expertise from flagship partnerships to a broad network of AI-native organizations Oversee team dynamics, processes, and cross-functional relationships needed for success Work closely with leaders in Nonprofits, Product, Engineering, Policy, and GTM to help partners integrate Claude responsibly and effectively Represent Anthropic as a senior technical leader in high-profile partnerships, maintaining the company’s safety standards Who We’re Looking For Deep technical expertise in AI and experience leading technical teams Comfort working across sectors, regions, and partner types (from global health foundations to research institutions and nonprofits) Leadership skills to build, motivate, and scale a global team Ability to shape cross-functional collaboration and drive complex partnerships Commitment to responsible AI deployment and upholding safety standards Location San Francisco, CA or New York City, NY

P-345 At Databricks, we are at the forefront of addressing some of the most challenging data issues faced by our clients. Our Solutions Architect team plays a crucial role in leveraging the technologies that underpin our platform, alongside the broader cloud and technology ecosystems, to devise effective solutions. As a Solutions Architect at Databricks, you will spearhead the implementation of the Databricks Unified Analytics Platform. This position offers an opportunity to deepen your expertise in open-source projects such as Apache Spark™, MLflow, and Delta Lake while promoting the Lakehouse paradigm across leading public cloud providers. You will develop a robust understanding of cloud platforms, data engineering, analytics, data science, and machine learning. In this client-facing role, you will identify and articulate use cases for Databricks, architect solutions using our platform, and guide customers through successful implementations that drive strategic business value. Building strong relationships with our clients, you will position yourself as a trusted advisor. At Databricks, we foster a culture of collaboration and teamwork. You will also contribute your knowledge by engaging with our subject matter expert groups. In this capacity, you will report directly to the Solutions Architect Leader for your specific business segment. If you are a passionate technologist with an interest in Data and AI, and have a knack for prototyping solutions for customers, we would love to hear from you.

Join Anthropic as the Solutions Architecture Manager for Applied AI, where you will lead a dynamic team dedicated to transforming AI adoption in various industries. You will be pivotal in aligning cutting-edge AI solutions with the needs of Fortune 500 clients across sectors such as financial services, healthcare, and retail. Your expertise in technical consulting and sales will guide clients through their AI journeys, ensuring that our technologies, including Claude for Enterprise and Claude Code, are seamlessly integrated into their operations. As a leader, you will cultivate talent, set strategic goals, and foster partnerships that drive AI innovation and reliability.

About Liquid AIFounded as a spinoff of MIT CSAIL, Liquid AI specializes in developing versatile AI systems designed for optimized performance across various deployment platforms, from data center accelerators to on-device hardware. Our commitment to low latency, minimal memory consumption, privacy, and reliability sets us apart. We collaborate with enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we seek remarkable talent to join our journey.The OpportunityAs we establish our solutions architecture function from the ground up, you will play a pivotal role as one of our inaugural Solutions Architects. Collaborating closely with the Head of Solutions Architecture and the go-to-market organization, you will manage customer engagements from inception to completion.Our models are specifically engineered for environments constrained by memory, latency, and power, encompassing edge devices, mobile applications, embedded systems, and on-premises infrastructure where traditional models cannot operate. You will engage with this boundary daily.Our clientele ranges from AI-native startups to established enterprises venturing into AI for the first time. Your mission is to bridge the gap between our models' capabilities and customers' expectations, delivering on that promise from technical validation through to go-live.

We are seeking a talented and experienced Manager of Applied AI Solutions Architecture - Partnerships to join our innovative team at Anthropic. In this role, you will lead the design and implementation of AI solutions that enhance our collaborative partnerships. Your expertise will drive impactful AI applications while ensuring seamless integration with partner technologies.As a key player in our organization, you will manage a team of skilled architects and engineers, fostering an environment of creativity and collaboration. You will also engage with stakeholders to understand their needs and translate them into effective AI-driven solutions.

About Our TeamJoin our dynamic Solutions Engineering team at OpenAI, where we are dedicated to facilitating the safe and impactful implementation of Generative AI applications for developers and enterprises. As trusted advisors and thought partners, we collaborate closely with founders and technical teams to innovate, construct, and expand groundbreaking AI products on the OpenAI platform.Position OverviewWe are on the lookout for a skilled and product-oriented Solutions Engineer who is passionate about pushing the boundaries of advanced AI alongside our startup clientele. In this role, you will engage with some of the most innovative AI startups globally, guiding them through the phases of ideation, development, deployment, and scaling to optimize the value derived from our platform. You will be instrumental in shaping the creative and unprecedented use cases being developed on our API, acting as a vital partner in gathering and conveying high-fidelity product and model feedback to our internal teams. Collaborating closely with Sales, Solutions Architecture, Applied Research, and Product teams, you will report directly to the Startups Solutions Engineering Lead.This position is based in our San Francisco headquarters, utilizing a hybrid work model that includes three days in the office each week. We also provide relocation assistance to new hires.Key ResponsibilitiesServe as a technical thought partner for startups, assisting them in rapidly transitioning from concept to production at scale using our API.Develop and disseminate repeatable guidance for the startup ecosystem by creating best practices, sample applications, deployment patterns, and technical playbooks, as well as leading workshops, office hours, hackathons, and founder roundtables.Work collaboratively with Product and Research teams to ensure our models and platform consistently deliver top-tier performance for real-world startup applications.Aggregate high-quality product and model feedback from a diverse portfolio of startups and translate this into concise, prioritized requirements that inform our development roadmap.Ideal Candidate ProfilePossess 5+ years of experience as a software engineer, ML engineer, or in a related role, preferably within a startup context; prior experience as a founder or founding engineer is highly regarded.Demonstrate a strong passion for startups and a firm belief in their potential to evolve into significant enterprises.Exhibit proficiency in programming languages such as Python and JavaScript, alongside relevant frameworks and tools.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

About Prime Intellect Prime Intellect builds the backbone for advanced AI labs, delivering infrastructure that supports the next generation of artificial intelligence. Our platform, Lab, brings together environments, evaluations, sandboxes, and high-performance training into one unified system for post-training at scale. Teams use Lab for Reinforcement Learning (RL), Supervised Fine-Tuning (SFT), tool integration, agent workflows, and deployment. We rely on our own technology to train leading-edge models, ensuring our clients benefit from proven solutions. Prime Intellect recently raised $15 million in new funding, bringing our total to $20 million. Investors include Founders Fund, Menlo Ventures, and notable angels such as Andrej Karpathy, Tri Dao, and Dylan Patel. Role Overview: Solutions Architect - AI Infrastructure This San Francisco-based role connects client success, technical operations, and AI infrastructure delivery. The Solutions Architect works directly with customers to guide onboarding, deployment, and scaling on the Prime Intellect platform. Internally, this position helps build systems and workflows that make our services more scalable and efficient. Beyond supporting individual accounts, this role shapes how we serve technically advanced clients, turning high-touch deployments into repeatable processes and better tools for sustainable growth. Key Responsibilities Customer Success and Account Management Serve as the main point of contact for customers using our AI infrastructure Oversee onboarding and coordinate deployments from post-sale through production readiness Build trusted relationships with customer teams, proactively resolving issues and managing risks Work closely with engineering and operations to ensure customer needs are understood and addressed Systems Development and Operational Efficiency Improve internal systems for onboarding, deployment tracking, escalation management, and account health monitoring Spot repetitive tasks and convert them into streamlined processes, tools, or automation Help define operational cadence, support infrastructure, and scalable service models for account management Develop structure and introduce solutions that enhance the customer experience

Introducing OktaAt Okta, we are redefining identity management. As the world’s leading Identity Company, we empower individuals and organizations to engage securely with any technology, anywhere, and on any device. Our innovative platforms, Okta and Auth0, are designed to ensure secure access, authentication, and automation, placing identity firmly at the heart of business security and growth.We thrive on diverse perspectives and experiences. We seek dynamic individuals who are passionate about continuous learning and who can contribute uniquely to our mission.Be a part of our journey! Together, we are creating a world where identity is truly yours.The OpportunityAs a Principal Applied AI Marketing Engineer, you will play a pivotal role within the newly formed Marketing AI Spoke team. Acting as the lead product owner and technical architect, you will oversee a specialized portfolio of AI agents, workflows, and low-code/no-code applications. This position demands a unique blend of marketing expertise, technical skills, and analytical thinking to convert complex business challenges into effective, implemented AI-driven solutions.Your responsibilities will encompass the entire engineering lifecycle—defining, developing, testing, and deploying impactful initiatives that enhance our marketing productivity, operational efficiency, and customer engagement.

About Our TeamAt OpenAI, our AI Deployment Engineering team is dedicated to facilitating the safe, seamless deployment of cutting-edge Generative AI applications for developers and enterprises. We pride ourselves on being trusted advisors and strategic partners for our clients, helping to curate a robust backlog of GenAI use cases tailored to their industry needs and guiding them through the production process with exceptional technical expertise. Our clientele is diverse, ranging from innovative startups to established global corporations.About the RoleWe are on the lookout for a highly skilled, business-savvy AI Deployment Engineer who is passionate about shaping the future of advanced AI in collaboration with our dynamic startup customers. You will engage with some of the most groundbreaking AI startups globally, guiding them through the stages of ideation, development, delivery, and scaling, thereby enhancing and maximizing the value of their projects on our platform. This position offers the chance to work on pioneering use cases leveraging our API, serving as a vital link in aggregating and conveying high-quality product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, reporting directly to the Startups AI Deployment Lead.This role is based in our San Francisco headquarters, operating under a hybrid model that requires 3 days in the office each week, with relocation assistance provided for new hires.Your Responsibilities:Collaborate intimately with strategic startup clients, serving as their technical advisor to innovate applications on our API and swiftly transition from ideation to scalable solutions.Offer proactive insights to enhance business impact and expedite application development.Engage in experimentation and prototyping with customers, showcasing practical applications.Contribute to open-source initiatives, disseminating knowledge, codifying best practices, and developing valuable resources.Aggregate and relay insightful feedback to the Product and Research teams.Cultivate relationships within the startup ecosystem, acting as a technical ally to both individual clients and the broader community.You Will Excel in This Role If You:Possess 5+ years of experience as a software engineer, ML engineer, or in a related role, preferably within a startup environment; experience as a founder or founding engineer is a plus.

Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

Join Demandbase as an Applied AI Scientist, where you'll have the opportunity to push the boundaries of AI technology in a dynamic and innovative environment. As a key member of our team, your role will involve developing and implementing advanced AI solutions that drive impactful business results.We're looking for a passionate individual who thrives on solving complex problems and is eager to contribute to AI advancements. You will collaborate with cross-functional teams to integrate AI models into our existing frameworks and enhance our product offerings.