AI Deployment Strategist - Singapore

About MistralAt Mistral AI, we harness the transformative power of artificial intelligence to streamline tasks, enhance productivity, and foster creativity. Our innovative technology is crafted to integrate effortlessly into everyday work environments.We are committed to democratizing AI through high-performance, optimized, open-source models and solutions. Our all-encompassing AI platform caters to enterprise requirements, whether deployed on-premises or in the cloud. Among our offerings is Le Chat, a versatile AI assistant designed for both personal and professional use.Our team is dynamic and collaborative, united by a shared passion for AI and its potential to revolutionize society. With a diverse workforce spread across France, the USA, the UK, Germany, and Singapore, we thrive in competitive settings, continuously pushing the boundaries of innovation. We pride ourselves on being creative, humble, and team-oriented.Join us in shaping the future of AI and making a meaningful impact. Discover more about our culture at https://mistral.ai/careers.Key ResponsibilitiesPre-Sales & Sales Activities:• Engage in pre-sales conversations to identify potential clients' needs, challenges, and goals.• Conduct lead qualification calls to identify prospects who will benefit most from our offerings.• Collaborate with the sales team to advance the sales pipeline, providing essential technical insights and expertise.Product Implementation & Integration:• Guide clients in deploying our text completion API within their existing infrastructure.• Work closely with customers to tailor models to meet their specific requirements.• Assist clients in seamlessly integrating our APIs into their front-end applications to ensure an optimal user experience.• Maintain regular communication with product and technical teams to share feedback and suggest enhancements.• Design and develop product features that address the needs of multiple customers.Customer Success & Support:• Ensure customers maximize the value of our products.• Provide post-deployment support, promptly addressing any issues or challenges.• Conduct regular reviews with customers to assess satisfaction levels and collect feedback.• Recommend product optimizations and new features based on customer input.• Develop new features as required.About You• You possess a degree in a relevant scientific discipline (e.g., Computer Science, Data Science, Engineering).

elevenlabs is hiring a Deployment Strategist based in Singapore to support deployment strategies throughout Oceania. This role centers on understanding local market trends and customer needs to help guide effective solution implementation. Role overview The Deployment Strategist will work closely with cross-functional teams to coordinate project execution. Collaboration is central, as the position involves sharing insights that inform and refine the company’s strategic approach in the region. Key responsibilities Shape and support deployment strategies tailored to Oceania’s market landscape Analyze customer requirements and market dynamics to inform project decisions Partner with internal teams to ensure projects run smoothly from planning through execution Provide feedback and insights to help steer strategic direction Requirements Strong understanding of market dynamics in Oceania Experience collaborating with multiple teams on project delivery Ability to analyze customer needs and translate them into actionable strategies

OpenAI is hiring a Technical Deployment Lead in Singapore to guide the rollout of advanced AI technologies. This position centers on coordinating with teams across different functions to make sure deployments run smoothly and meet high operational standards. Role overview The Technical Deployment Lead will focus on integrating OpenAI’s AI solutions into various settings. The role involves hands-on leadership during deployment, working closely with engineers, product managers, and other stakeholders to support successful project outcomes. What you will do Manage the deployment process for OpenAI’s AI technologies in Singapore and the region. Work with cross-functional teams to ensure seamless integration of solutions. Support operational excellence by identifying and addressing challenges during deployment. Requirements Experience leading technical deployments or integrations. Strong collaboration skills with multidisciplinary teams. Ability to manage projects in varied environments.

Role Overview IT Labs is hiring a Deployment Engineer based in Singapore. This role supports a deeptech client focused on transforming engineering through AI. The client develops AI-powered simulation software for industries such as Aerospace, Automotive, Energy, and Semiconductors. The Deployment Engineer acts as a bridge between engineering teams and the client, handling end-to-end deployment of infrastructure solutions. The work involves close collaboration with stakeholders to understand requirements and constraints, aiming for smooth implementation of scalable, secure, and observable systems that support advanced AI workflows. What You Will Do Work directly with clients to assess infrastructure needs, security considerations, and deployment preferences. Design and carry out deployment strategies for Kubernetes clusters on AWS, Azure, and on-premise environments. Serve as the main technical contact during deployments. Troubleshoot complex deployment issues, distinguishing between infrastructure and application causes. Validate systems to ensure solutions perform reliably in client settings. Gather client feedback to help shape internal development priorities. Apply and refine deployment best practices, mentoring team members along the way. What Matters for Success This position calls for strong technical skills in infrastructure and clear communication. The Deployment Engineer guides clients through complex deployments and ensures solutions address practical challenges in the field. Location Singapore (on-site or hybrid, as needed for client engagement)

In a domain where accuracy is paramount, avomind stands out as the foremost AI-driven trust layer for consulting workflows. Our clients appreciate our ability to generate insights rooted in reality, effectively circumventing hallucinations that can squander valuable consulting time and jeopardize a firm's reputation.Utilizing proprietary knowledge base technology along with end-to-end workflows, we surpass all competitors by achieving 80x faster knowledge processing and delivering 3x more precise insights on intricate documents, corroborated by independent benchmarks.Founded by former BCG strategy consultants and Lazada (Alibaba) executives, our team boasts over a decade of technological expertise in roles such as Chief Commercial Officer & Deputy CEO at Lazada and Chief Data & AI Officer at Picnic and Lepaya.Join us at this exciting juncture in our growth journey as we develop a world-class product powered by state-of-the-art AI. We are on the lookout for exceptional talents to help shape the future of our offerings.

About Our TeamJoin the dynamic AI Deployment Engineering team at OpenAI, where we are committed to ensuring the safe and impactful deployment of Generative AI applications for developers and enterprises. As trusted advisors and thought partners, we collaborate with our clients to develop a robust backlog of GenAI use cases tailored to their industries, effectively driving them into production with our expert technical guidance. In your role as an AI Deployment Engineer, you will empower leading companies to revolutionize their operations through innovative solutions such as customer service automation, content generation, and other pioneering applications utilizing our latest models.About the RoleWe are seeking a results-oriented solutions leader with a product-driven mindset to collaborate with our clients and deliver measurable business value with Generative AI. You will engage with senior leaders to define a GenAI strategy and pinpoint high-value applications. Your role will involve partnering with their technical teams to transition from prototype development to full-scale production. By taking a comprehensive approach to client needs, you will design enterprise architectures that leverage ChatGPT, OpenAI API, and other services to maximize customer benefits. You will work closely with Sales, Solutions Engineering, Applied Research, and Product teams, reporting directly to the Head of Technical Success, APAC.This position is based in Singapore with a hybrid work model of three days in the office each week, and we offer relocation assistance to new employees.Your Key Responsibilities:Act as the technical lead for our most strategic platform clients, collaborating closely to ideate and develop innovative applications using our API.Partner with senior stakeholders to identify optimal GenAI applications within their industries and construct a comprehensive backlog to support their AI initiatives.Directly engage to expedite customer time-to-value by developing hands-on prototypes and delivering impactful strategic recommendations.Build and nurture relationships with customer leadership and stakeholders to ensure successful deployment and scaling of their applications.Contribute to our open-source developer and enterprise resources, enhancing community engagement.Enhance the Solutions Architect function by sharing knowledge, documenting best practices, and publishing informative notebooks in our internal and external repositories.Synthesize, validate, and communicate high-value feedback for continuous improvement.

About the AI Deployment Management Team The AI Deployment Management (ADM) team at OpenAI helps organizations realize meaningful, lasting results through OpenAI’s products. The team focuses on structured training, technical support, and scalable deployment programs that move clients from early experimentation to full-scale production. By working closely with businesses, ADM supports the integration and operational use of AI, speeding up value delivery and strengthening OpenAI’s position in daily workflows. Role Overview: Lead AI Deployment Manager OpenAI is hiring a Lead AI Deployment Manager in Singapore to guide a team dedicated to helping enterprise clients deploy and adopt OpenAI’s products. This hybrid role combines technical leadership, customer enablement, and team management. The position requires three days per week in the Singapore office, and relocation assistance is available for new hires. The Lead AI Deployment Manager will build and mentor a group of AI Deployment Managers, designing scalable training programs that enable organizations to operationalize advanced AI across OpenAI’s product suite. Collaboration with Sales, Technical Success, and Product teams is central to ensuring clients have the resources, knowledge, and support needed for successful AI deployment. Your Responsibilities Lead Customer Enablement Efforts Develop and manage the technical enablement strategy for products such as ChatGPT Enterprise, Codex, Agents, and APIs. Oversee customer training services throughout the client journey, from onboarding to ongoing adoption and expansion. Design and deliver programs including enterprise onboarding, developer workshops, executive briefings, and technical bootcamps. Promote customer engagement and sustained usage through structured enablement initiatives that drive measurable business outcomes. Create scalable training materials, playbooks, and best practices based on learnings from client engagements. Build and Lead a High-Performing Team Promote a culture of excellence, collaboration, and ongoing improvement within the team.

AI Deployment Engineer for StartupsAbout the TeamThe AI Deployment Engineering team collaborates closely with pioneering startups. We serve as trusted advisors and thought partners, ensuring that OpenAI’s technology is deployed safely and effectively. Our work involves partnering with engineering, research, and product teams to translate insights into evaluation systems, product enhancements, and improved model performance.This team operates at the nexus of customer needs and model quality. We merge hands-on technical expertise with strong product judgment to convert complex, high-value use cases into actionable signals that enhance both the customer experience and the underlying systems.About the RoleWe are on the lookout for a technically adept, product-oriented engineer eager to advance AI with our strategic startup partners. You will engage with some of the most innovative AI startups globally, assisting them in optimizing their systems while translating those insights into sustainable improvements across OpenAI’s research and products. You will collaborate on intricate workflows, pinpoint critical gaps, and transform those into reproducible evaluations and technical insights, thereby influencing OpenAI's research and product trajectory.This position is ideal for engineers who excel at debugging workflows, refining prompts or agents, designing evaluations, and liaising across research and product teams. You should be enthusiastic about tackling ambiguous, high-impact challenges and motivated by the chance to influence how advanced AI systems evolve in practice.This role particularly emphasizes building relationships within the startup ecosystem, including presentations to developer and startup audiences. Strong communication skills are essential, as you will discuss high-level technical trends alongside deeper technical engagements with specific startups.This position is based in our Singapore office, utilizing a hybrid work model of three in-office days per week, along with relocation assistance for new hires.In this Role, You Will:Engage directly with strategic startup clients to comprehend essential workflows, uncover failure modes, and identify impactful opportunities for enhancement.Prototype and refine prompts, agents, and workflow designs to gain insights into system behaviors and unlock customer value.Synthesize and deliver valuable feedback to the OpenAI product and research teams.

Robotics AI EngineerLocation: SingaporeJoin Field AI in revolutionizing the interaction between robots and the real world. We are pioneering the development of risk-aware, dependable, and field-ready AI systems that tackle the most intricate challenges in robotics, fully realizing the potential of embodied intelligence. Our innovative approach transcends conventional data-driven methods and pure transformer architectures, and we are paving a new path with globally deployed solutions that yield tangible results and continuously enhance models through real-world applications.About Field AIAt the cutting edge of robotic embodied AI, Field AI is transforming sectors such as construction, security, mining, and manufacturing. Our autonomous robots operate across the globe, frequently in challenging environments, providing essential insights to our clients. Whether it’s tracking construction progress, ensuring adherence to safety regulations, or performing predictive maintenance, Field AI is pioneering technologies that create significant impacts.About the RoleAs a Robotics AI Engineer, your role will involve conceptualizing and deploying AI algorithms that empower robots to perceive, reason, and make decisions in unstructured environments. You will work collaboratively with interdisciplinary teams, including robotics, machine learning, and systems engineering, to transition groundbreaking autonomy solutions from research to practical applications.

Role overview The Customer Success Manager at field-ai serves as the main contact for clients in Singapore. This position focuses on guiding clients through onboarding, product adoption, and continued use of field-ai’s AI solutions. The role is central to helping clients achieve their goals with the company’s offerings. What you will do Develop and maintain strong relationships with clients Gain a clear understanding of each client’s needs and objectives Represent client interests within field-ai Support clients as they work toward their business outcomes using field-ai’s products Requirements Background in managing client relationships Demonstrated commitment to customer experience Skill in understanding and communicating client needs within an organization This role is based in Singapore.

About UsAt Sierra, we are pioneering a transformative platform designed to empower businesses in crafting superior, more human-centric customer experiences through AI. Our headquarters are located in the vibrant city of San Francisco, with expanding offices in Atlanta, New York, London, France, Singapore, and Japan.Our organizational culture is deeply rooted in our core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values guide our actions and are fundamental to our commitment to excellence.Sierra was co-founded by Bret Taylor, who currently serves as the Board Chair of OpenAI and previously held prestigious roles as co-CEO of Salesforce and CTO of Facebook; and Clay Bavor, who led Google Labs and spearheaded innovative AR/VR initiatives at Google. Their vision drives our mission to redefine customer interactions through AI.Your RoleAs a key member of our Agent Development team at Sierra, you will collaborate closely with our Agent Product Managers and Engineers to conceptualize, develop, and launch AI agents capable of managing thousands of customer interactions daily.Your contributions will be vital in shaping agent development through a unique blend of product strategy, conversational design, and customer insights, ultimately delivering high-quality AI solutions.Act as a trusted advisor to clients, guiding their AI strategies and initiatives.Design, build, and optimize conversational AI agents, gaining firsthand insight into product development and enhancement.Lead the execution and delivery of multiple complex agent development projects, ensuring they meet high visibility and impact.Facilitate collaboration across both technical and non-technical stakeholders throughout the complete agent development lifecycle.Maintain clear communication with all stakeholders and foster strong relationships.Provide strategic, data-driven insights that inform both customer and internal team decisions.

About the RoleAs a Forward Deployed Engineer at Field AI, you will play a pivotal role in deploying and integrating our cutting-edge autonomous systems in real-world scenarios. This position combines engineering expertise with critical problem-solving skills. You will collaborate directly with clients and internal teams to optimize operational success, swiftly integrate field feedback to enhance system reliability and performance, and promote adoption to ensure our solutions become essential from the start. If you excel in dynamic, high-impact settings and are passionate about contributing to the future of autonomy, this opportunity is your chance to make a significant impact.

About the Role VaynerMedia is hiring a Strategist in Singapore. This role focuses on building effective marketing strategies for a range of clients. The Strategist works closely with creative teams, using market analysis to inform campaign direction and execution. What You Will Do Analyze market trends and audience behaviors to find actionable insights Develop strategic recommendations tailored to client goals Work with creative teams to guide campaign planning and rollout Support brand growth and campaign performance through clear, data-driven thinking Location This position is based in Singapore.

About Glean:Founded in 2019, Glean is at the forefront of innovation with its AI-powered knowledge management platform that empowers organizations to efficiently find, organize, and share information across teams. By seamlessly integrating with popular tools such as Google Drive, Slack, and Microsoft Teams, Glean enables employees to access the right knowledge at the right time, significantly enhancing productivity and collaboration. Our advanced AI technology streamlines knowledge discovery, allowing teams to leverage their collective intelligence with remarkable speed and efficiency.Born from the vision of Founder & CEO Arvind Jain, Glean was created to address the common challenges employees face in navigating information at work. Recognizing the hurdles posed by fragmented knowledge and an array of SaaS tools, he aimed to develop a superior solution—an AI-powered enterprise search platform that facilitates quick and intuitive access to necessary information. Glean has since evolved into the leading Work AI platform, merging enterprise-grade search capabilities with an AI assistant and powerful application-building features that fundamentally reshape how employees engage with their work.About the Role:We are seeking a dynamic AI Outcomes Manager to join our rapidly growing team. In this pivotal role, you will be instrumental in transforming departmental operations through the capabilities of Glean. You will collaborate closely with executives and end users, utilizing your business acumen, product insight, and prompting expertise to facilitate their transition into an AI-native enterprise.Your Responsibilities Include:Engaging with executive sponsors to provide strategic reviews and guiding customers in the development and execution of their AI roadmap.Deeply understanding Glean's suite of products to ensure effective implementation and utilization across departments.

Why You Should Join Us: At SonarSource, we are a team of passionate and innovative professionals dedicated to empowering organizations to develop responsible, secure, and high-quality code efficiently and effectively. Our mission is to address the root causes of coding issues—specifically at the source code level—ensuring that our solutions provide real, long-term improvements. With a vibrant culture that spans across the globe, we have office hubs in the USA, Switzerland, the UK, Singapore, and Germany. We believe in fostering a work environment where team members are excited to contribute to a product they are proud of, collaborating with motivated peers. With strong ties to the open-source community, our primary goal is to offer solutions that promote Clean Code practices. Your Impact: In this role, you will be part of our research team focused on automating software evolution through comprehensive analysis, verification, and test generation. You will engage in pioneering projects that leverage AI and machine learning to enhance software engineering practices. This position presents a unique opportunity to conduct innovative research, create advanced algorithms, and contribute to developing software tools that improve system performance, reliability, and adaptability.

Role Overview The Rapid Deployment Operations Engineer at Xcellink works within the Rapid Deployment Operations Team in Singapore (West). This role partners with Service Delivery, Support, and Project Teams to address technical challenges, support production deployments, and provide technical assistance during incidents. Regular collaboration with stakeholders is key to maintaining smooth operations and service quality. Main Responsibilities Support the Service Delivery Team in meeting service standards as outlined in Service Level Agreements (SLAs) with customers. Share feedback with the Service Delivery Team on HR and operational topics that impact service commitments. Respond to and resolve operational issues raised by customers or the Service Delivery Manager. Implement service recovery plans when required. Take part in candidate interviews to assess fit for project needs. Assist the Operations Lead in managing project teams to ensure projects are delivered successfully. Work with the Service Delivery Manager and Customer Team Lead to address any SLA breaches by the support team. Join monthly and quarterly operations reviews with stakeholders to discuss SLA adherence and related topics. Integrate with project teams as needed to help deliver on project objectives. Participate in discussions about improving service quality and operational processes. Develop training programs focused on technical skills and soft skills. Set up and maintain knowledge transfer processes for smooth team transitions. Help refine operational processes to strengthen Xcellink’s service management and delivery. Oversee the development and rollout of training and process documentation for the Service Delivery Team and Customer Operations. Ensure the Support Team follows Customer Business Standards and controls, protecting intellectual property rights. Carry out other duties as assigned by the Supervisor or Operations Lead.

About FUKU AI:FUKU AI stands at the forefront of technology, specializing in innovative artificial intelligence solutions. Our mission is to revolutionize industries through cutting-edge AI products and services. We pride ourselves on our diverse team of creative professionals who are driven by a passion for data and its potential to enhance business outcomes. At FUKU AI, we cultivate a collaborative and dynamic work culture that promotes creativity, innovation, and personal growth.Key Responsibilities:- Gather, process, and analyze extensive datasets to uncover trends and insights.- Design and maintain robust data collection systems and analytics processes.- Work closely with cross-functional teams to address business needs and deliver data-driven solutions.- Produce visualizations and comprehensive reports to effectively convey findings to stakeholders.- Ensure data integrity and accuracy through regular quality assessments.- Assist in the development and execution of data-centric strategies.

Join our innovative team at Omio as a Senior AI Engineer. In this role, you will work on cutting-edge artificial intelligence projects that enhance our travel platform and improve user experiences. You will collaborate with cross-functional teams to design, develop, and implement AI algorithms and models.

Join the forefront of technological innovation at Arros AI, a pioneering company dedicated to delivering advanced artificial intelligence solutions that empower businesses to enhance their operations. Our mission revolves around developing scalable and efficient AI systems that drive significant advancements across machine learning, natural language processing, and data analytics. We are passionate about tackling complex challenges and providing impactful solutions for a diverse range of industries.Key Responsibilities:- Design, develop, and implement sophisticated AI models and algorithms to address intricate business challenges.- Collaborate with multidisciplinary teams to gather project requirements and create AI-driven solutions.- Engage in ongoing research to remain current with the latest trends and breakthroughs in AI and machine learning.- Optimize and refine AI models for maximum performance, scalability, and precision.- Construct and maintain robust data pipelines to facilitate AI model training and deployment.- Execute data preprocessing, feature engineering, and exploratory data analysis.- Deploy AI models in production environments and continuously monitor their performance.- Identify and resolve issues related to AI systems and applications.- Document technical processes, methodologies, and outcomes for stakeholders.

Join our forward-thinking Digital team as an AI Engineer / Machine Learning Engineer, where your innovative ideas will help shape the future of advanced AI solutions.In this dynamic role, you will collaborate closely with senior architects and interdisciplinary teams to harness artificial intelligence, particularly large language models (LLMs) and machine learning (ML), to tackle intricate challenges within the built environment. Your contributions will be vital in developing AI-driven tools that enhance automation and optimize engineering workflows, from infrastructure systems to building design.This position demands strong hands-on expertise in Python programming, machine learning methodologies, and familiarity with large language models. You will play a crucial role in implementing and maintaining scalable, reliable, and user-centered AI solutions. Be part of our mission to revolutionize infrastructure design and delivery, utilizing cutting-edge technologies to address critical challenges facing our cities and communities.Key Responsibilities:Develop and refine AI/ML models in alignment with regulatory standards and core engineering principles.Utilize spatial data, 3D models, engineering constraints, and historical records to enhance design precision, safety, and efficiency.Integrate rule-based logic with machine learning techniques to create robust scripts and scalable model training pipelines using Python.Showcase proficiency in Python and experience with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and geospatial libraries (e.g., GeoPandas, Shapely, ArcPy, FME).Design and deploy AI tools into engineering workflows using APIs, dashboards, or custom plug-ins that integrate seamlessly with existing tools (e.g., ArcGIS, AutoCAD Civil 3D, Revit, Rhino).Collaborate with civil engineers, utility specialists, and GIS/BIM specialists to convert infrastructure planning and design challenges into AI-enhanced solutions.