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The Partner AI Deployment Engineer at OpenAI focuses on delivering AI solutions built on Amazon Web Services (AWS). The position involves close collaboration with partners to bring OpenAI technologies into their products and workflows. This role is based in San Francisco.
OpenAI is at the forefront of artificial intelligence research and deployment. Our mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. We are dedicated to creating safe and beneficial AI technologies while fostering openness and collaboration.
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About Our ClientJoin an innovative AI platform that develops autonomous AI Receptionists and Agents designed to enhance customer interactions for small and medium-sized businesses. Founded in 2023 by a seasoned entrepreneur whose previous AI venture exceeded 50 million users worldwide, this rapidly growing company is supported by top-tier investors and has s…
Intercom
Join Intercom as a Senior AI Deployment Architect, where you will play a pivotal role in designing and implementing AI solutions that revolutionize customer communication. You will work alongside a talented team of engineers and data scientists to build state-of-the-art AI models and systems. Your expertise will be essential in deploying scalable AI applications that enhance user experiences across various platforms.
About the Role:As an AI Deployment Strategist at F2-ai, you will play a pivotal role in bridging customer success, sales, and engineering teams to guarantee technical precision and effective implementation of our innovative F2 product. You will establish yourself as the go-to expert in AI prompting, serving as the technical foundation for our go-to-market strategy.Your Responsibilities:Assist in the F2 sales process: Participate in prospect and client meetings to resolve technical inquiries related to our product.Manage customer due diligence: Complete InfoSec questionnaires and enhance our due diligence knowledge base continuously.Review reports produced by users, identify issues, and collaborate with engineering to ensure customers derive value from our AI solutions.Develop prompts: Craft natural language prompts tailored to specific customer requirements to guarantee accurate and relevant report outputs.Conduct light technical implementations, such as configuring Single Sign-On (SSO) or establishing custom data retention policies.Maintain CRM hygiene: Ensure data is clean and structured to support the scalability of customer success and sales teams.Act as the customer advocate to the engineering team, providing valuable feedback that aids in product enhancement.Who You Are:You are a dynamic professional adept at translating technical language for engineers and customers alike. Your experience with enterprise buyers enables you to convey complex systems in a straightforward manner, fostering cross-functional collaboration that leads to impactful results.Experience in prompt engineering and working with LLMs and AI SaaS tools.Familiarity with enterprise information security concepts and due diligence procedures.Excellent communication skills, commercially astute, customer-focused, and technologically proficient. You can simplify complex ideas for non-technical audiences.Proficient in project management of intricate workflows and technical deliverables without the need to write production code.Strong technical aptitude and willingness to enhance your coding skills.
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.
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 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
About Our TeamThe AI Deployment Engineering (ADE) team at OpenAI is dedicated to ensuring the safe and effective deployment of Generative AI applications for both developers and enterprises. As trusted advisors and technical collaborators, we guide our clients in crafting and executing their AI adoption strategies following the sales process. Our mission is to build a robust portfolio of GenAI use cases tailored to various industries, driving initiatives from prototype stages to full production through hands-on technical support and partnership.As a Partner AI Deployment Engineer, you will assist systems integrators and their most pivotal clients in transforming their business landscapes through innovative solutions, including customer service automation, content generation, and cutting-edge applications utilizing our latest models.About the RoleWe seek a motivated solutions leader with a product-oriented mindset to take on the role of the first Partner AI Deployment Engineer. You will spearhead the technical engagement with our systems integrators (covering GSIs, RSIs, and boutique SIs) and ensure their clients derive substantial business value from GenAI. Your role will involve helping partners identify valuable use cases and providing technical guidance during the implementation of AI solutions. Your contributions will expedite partners' ability to unlock distribution and adoption, ensuring they achieve exceptional results for our shared clients while upholding high-quality standards. You will work closely with Sales, Solutions Engineering, Applied Research, and Product teams, reporting to the Head of Solutions Architecture.This opportunity is based in San Francisco, CA, and follows a hybrid work model, requiring three days in the office per week, with relocation assistance available for new hires.Key Responsibilities:Act as a technical lead and thought partner for GSIs, RSIs, and boutique SIs, collaborating to ideate and develop innovative applications on our API for their clients.Engage with senior stakeholders from SIs and clients to identify optimal GenAI applications relevant to their industries and create a comprehensive backlog to support their AI initiatives.Directly intervene to expedite customer time-to-value by developing hands-on prototypes or delivering impactful strategic insights.Cultivate and maintain relationships with SI and customer stakeholders to ensure the successful deployment and scalability of applications.Standardize solution packages and architectural patterns to streamline deployment timelines for customers.
Prime Intellect
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
About WRITERAt WRITER, we empower the world's leading enterprises to harness the power of AI in their operations. Our mission is to enhance human capabilities through advanced superintelligence, demonstrating the potential of reliable AI to bridge the gap between IT and business teams for comprehensive enterprise transformation. With our cutting-edge end-to-end platform, renowned companies such as Mars, Marriott, Uber, and Vanguard are successfully building and deploying AI agents utilizing their proprietary data, powered by our state-of-the-art enterprise-grade LLMs. As a company valued at $1.9 billion and supported by top-tier investors like Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is swiftly establishing itself as the frontrunner in enterprise generative AI.Founded in 2020 and with additional offices in New York City, Austin, Chicago, and London, our team is ambitious and agile. We are on the lookout for innovative, dedicated individuals to join us in shaping the future of work through AI. About the RoleAs an AI Deployment Engineer at WRITER, you will play a pivotal role in our mission to enhance human capacity through superintelligence. This position is not just technical; it's influential, as you will collaborate closely with our enterprise clients. Your insights will be vital in identifying their unique challenges and designing AI-driven solutions that leverage our robust platform and enterprise-grade LLMs. You will convert complex requirements into impactful applications, championing user adoption and driving substantial business outcomes. Your innovative mindset and enthusiasm for deploying cutting-edge AI technologies will directly influence the evolution of work for some of the largest corporations globally.This role is crucial for our clients' success and the ongoing development of our products. Join our dynamic team to explore the frontiers of generative AI and contribute significantly to WRITER's objectives.This is a hybrid position based out of our San Francisco, Chicago, Austin, and New York City offices.
David AI
About David AIDavid AI is a pioneering audio data research firm dedicated to transforming how artificial intelligence utilizes audio data. Our R&D-driven methodology allows us to create high-quality datasets that rival the best AI models in the industry. We aim to integrate AI into everyday life, leveraging audio as a vital component due to its versatility and accessibility. As we advance in audio AI, we recognize that the demand for superior training data is paramount, and this is where David AI excels.Founded in 2024 by a team of experienced professionals from Scale AI, we have quickly gained the trust of major clients, including leading FAANG companies and AI labs. Our recent funding round raised $50M from top-tier investors such as Meritech, NVIDIA, and Amplify Partners, underscoring our rapid growth and potential.Our team embodies sharp intellect, humility, and ambition. We invite talented individuals in research, engineering, product, and operations to join our journey in advancing audio AI.About Our Forward Deployed TeamOur Forward Deployed team collaborates closely with clients on their most essential projects, transforming complexity into clarity and strategy into actionable steps. By embedding ourselves within customer organizations and maintaining deep connections with our product, research, and engineering teams, we ensure that each interaction generates significant value and contributes to the ongoing evolution of David AI.Your RoleWe are seeking a Deployment Strategist to act as a trusted advisor for our clients on their key audio AI initiatives. In this role, you will shape strategic directions and provide guidance on audio training approaches. Collaborating closely with senior stakeholders, you will identify opportunities, set priorities, and design solutions that ensure David AI consistently delivers exceptional results.Key ResponsibilitiesLead the customer journey: Oversee the process from ideation to launch.Build strong relationships: Cultivate consultative partnerships across various business units and levels within client organizations.Translate objectives: Collaborate with research and engineering teams to develop actionable strategies that drive long-term success.Identify opportunities: Discover new avenues within accounts where David AI's insights can create added value.
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.
About the Role: Strala is on the lookout for exceptional operators to tackle one of the most challenging roles in AI-native services: enabling critical AI solutions for some of the world’s largest insurance companies. This role is pivotal, involving direct engagement with clients to ensure successful deployments of our technology. You will navigate complex environments, connecting our engineering efforts with the intricate realities faced by large insurers, ultimately delivering substantial ROI. If you possess a unique blend of technical expertise and leadership skills, capable of guiding high-stakes discussions with executives while also diving deep into data models to resolve issues, we want to hear from you.About Strala: At Strala, we are revolutionizing the claims process and enhancing loss ratios for the largest insurers globally. Our mission is to reshape the $280 billion foundation of the insurance industry using applied AI.In under a year, we’ve achieved multi-seven-figure ARR with approximately 50% month-over-month growth, all without dedicated growth personnel. We’ve successfully secured funding from top-tier investors, including early partners of OpenAI, Cognition, and Ramp. Our lean and powerful team comprises elite professionals, including top sales leaders, engineers from renowned companies like DRW, Optiver, AWS, and Palantir, AI researchers from prestigious institutions such as Oxford and Cambridge, and multiple ICPC and Olympiad winners.Key Responsibilities: Oversee multiple client deployments from post-sale design through to go-live and stabilization, serving as the primary contact for VP-level stakeholders.Collaborate with client teams on architecture, data models, workflow design, and source-of-record decisions.Transform complex client realities into structured plans, including milestones, ownership, risks, dependencies, and progress tracking. Communicate effectively with both client executives and internal engineering teams.Establish trust with senior stakeholders while engaging deeply with technical teams, earning credibility in both arenas.Coordinate daily with Strala's engineering and sales teams, translating client requirements into engineering priorities and incorporating deployment context into deal strategies.Partner with Sales on late-stage deals to refine project scope and identify opportunities for expansion.This position is based in San Francisco. We believe that in-person collaboration leads to better results.
Rowspace
About the RoleJoin Rowspace as a founding AI Deployment Manager, where you'll be the linchpin in maintaining and enhancing our relationships with high-profile financial clients. Your mission is to drive their success on the Rowspace platform, ensuring they derive maximum value while exploring opportunities for expanded usage across their organizations. As the primary feedback conduit between our customers and the product team, your insights will help shape our offerings.This innovative role transcends conventional account management, requiring you to dive deep into the intricacies of investor operations—including their research methodologies, decision-making workflows, and data infrastructures. The ideal candidate will possess firsthand experience in finance or a consulting background that showcases their adeptness at managing complex client relationships.Your ResponsibilitiesManage customer relationships after the sale, focusing on onboarding, adoption, expansion, and retention.Develop a comprehensive understanding of your customers' workflows and how Rowspace integrates into their daily processes.Serve as the voice of the customer, synthesizing feedback to collaborate closely with product and engineering teams on future developments.Identify growth opportunities and collaborate with Account Executives to close deals.Engage in late-stage deals to ensure seamless transitions, maintaining strong relationships even before contracts are finalized.Create playbooks that define exceptional customer engagement strategies at Rowspace.Your Qualifications3–7+ years of experience in finance (buy-side, sell-side, or fintech) or management consulting, with a proven track record in ongoing client engagement.In-depth knowledge of finance workflows or a rapid learning ability in this area.Demonstrated self-starter attitude with a proactive approach to problem-solving.Detail-oriented and curious; you prefer in-depth understanding over surface-level insights.Strong pattern recognition capabilities to identify trends across customer feedback and articulate their implications for product development.Excellent communication skills, capable of delivering clear updates and leading productive quarterly business reviews.
About the TeamJoin the AI Deployment Engineering team at OpenAI, dedicated to the secure and efficient implementation of Generative AI applications for developers and enterprises. We serve as trusted advisors and innovative partners, crafting a comprehensive backlog of GenAI use cases tailored to industry needs, and guiding them to production with robust technical support. As the head of our AI Deployment Engineers in the Digital Native segment, you will empower technology and software companies to revolutionize their operations via solutions like customer service automation, content generation, and cutting-edge applications utilizing our most advanced models.About the RoleWe are in search of an accomplished leader to drive the technical success of our key technology and software clients across the Americas. In this strategic position, you will oversee the complete implementation process, guaranteeing smooth platform integration. Acting as the voice of our customers, you will coordinate technical teams to provide a unified, exceptional experience throughout the customer journey. Your performance will be evaluated based on the launch of live applications, increased API usage, and compelling customer success stories that highlight our technology's value.This position is based in our San Francisco office, operating on a hybrid work model of three days in-office per week, with relocation assistance available for new hires.Your Responsibilities Include:Develop and implement the strategy and operational framework for the AI Deployment Engineering team, ensuring alignment with corporate goals and customer needs.Lead, build, and mentor a team of high-achieving AI Deployment Engineers to achieve outstanding customer results, evidenced by production customer applications and enhanced API engagement.Act as the technical advocate for our clients, distilling their requirements to shape the Research and Applied Product/Engineering roadmaps.Serve as the primary technical escalation point during project development, fostering trust and ensuring direct communication with executive stakeholders.Establish yourself as an industry thought leader, promoting the safe and innovative utilization of our technology across diverse sectors.You Will Excel in This Role If You:Possess over 8 years of experience in a technical, customer-facing role, managing C-level technical and business relationships with complex global organizations.Demonstrate a strong foundation in AI technologies and their deployment in business contexts.Exhibit exceptional communication and leadership skills, with a proven ability to drive teams toward success.
Rockstar
Join Rockstar, a pioneering company dedicated to revolutionizing enterprise accounting by leveraging powerful integrations, intuitive design, and AI-driven automation. Our platform consolidates processes into a user-friendly interface, allowing accounting teams to focus on strategic, high-value tasks while reducing resource consumption.Our team comprises elite engineers and finance professionals from prestigious firms like Robinhood, Bolt, EY, Facebook, Twitter, Netflix, Amazon, Google, and Airbnb. With extensive industry experience, we are reshaping the way businesses handle their financial management.Backed by prominent Silicon Valley investors, we have successfully raised the largest seed round in our category, enabling us to launch a fully operational product and onboard several major clients.As an AI Deployment Engineer, you will:Collaborate with account executives to navigate complex deal cycles involving multiple stakeholders.Oversee and execute technical proof-of-concept (POC) processes.Optimize prompts and models to ensure optimal AI performance for our clients.Develop custom modules to facilitate successful client launches.Create and present tailored demonstrations based on customer business needs.Draft a comprehensive implementation scoping document for each customer.Integrate with various transaction systems, including revenue, billing, and accounts payable.Engage in customer-facing activities, including technical discovery calls.Collaborate with product and engineering teams to fulfill customer requests and advocate for their needs.Troubleshoot, debug, and enhance software to maintain reliable and robust performance in production environments.Provide ongoing technical support and maintenance for deployed solutions.Your qualifications include:Minimum of 2 years of experience in forward deployment engineering, sales engineering, implementation engineering, or solution engineering.Bachelor’s degree in any engineering discipline; computer science preferred but not mandatory.Excellent verbal and written communication skills, with the ability to effectively interface with customers.Self-motivated and proactive mindset.Capability to thrive in a high-pressure, fast-paced startup culture.Proficiency in programming languages such as Golang, Typescript, and Python.Adept at identifying customer needs and delivering innovative solutions.Experience collaborating with Account Executives on technical sales processes for Enterprise customers.
Join Anthropic as an Engagement Manager on our Applied AI team, where you will spearhead the delivery of cutting-edge AI solutions for Fortune 500 companies. In this pivotal role, you will collaborate with customers to create bespoke AI agents that enhance their core business processes. You will oversee the entire project lifecycle from the signed Statement of Work (SOW) to production deployment, coordinating cross-functional teams that include Engineering, Product, Design, and key customer stakeholders. This position goes beyond traditional project management; you will adeptly navigate complex enterprise environments, eliminate technical and organizational obstacles, and drive measurable business outcomes while upholding our commitment to safety and reliability. Work closely with Forward Deployed Engineers (FDEs) to manage stakeholder relationships and organizational intricacies, ensuring seamless delivery of AI innovations. Additionally, you will champion our mission in the field and develop the frameworks that enable scalability in our growing initiatives.
Cloudflare, Inc.
Join Cloudflare as a Solutions Architect focused on our AI and Developer Platform. In this hybrid role, you will leverage your expertise in cloud technologies and artificial intelligence to design innovative solutions that enhance our platform's capabilities. Your contributions will directly impact how developers interact with our services, optimizing performance and user experience.
Role overview The Partner AI Deployment Engineer at OpenAI focuses on delivering AI solutions built on Amazon Web Services (AWS). The position involves close collaboration with partners to bring OpenAI technologies into their products and workflows. This role is based in San Francisco. What you will do Deploy AI solutions using AWS infrastructure Work with partners to integrate OpenAI technologies into their systems Troubleshoot technical challenges and support successful implementation
TwelveLabs
Who We AreAt TwelveLabs, we are at the forefront of developing innovative multimodal foundation models that enable video comprehension akin to human understanding. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our capabilities in intuitive media interaction and analysis.With a strong financial backing of $107 million from Seed and Series A funding, our endeavors are supported by distinguished venture capital firms, including NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, alongside renowned AI pioneers like Fei-Fei Li and Silvio Savarese. Operating from our headquarters in San Francisco, we also have a significant presence in APAC with our office in Seoul, emphasizing our dedication to global innovation.As a diverse global company, we celebrate the unique journeys of our team members. The diverse cultural, educational, and life experiences of our employees allow us to continuously challenge the status quo. We seek individuals who are driven by our mission and passionate about making a significant impact in the realm of technology. Join us as we redefine video understanding and advance multimodal AI.About the TeamThe Field Engineering team is dedicated to the reliable and efficient deployment of TwelveLabs' video understanding APIs for developers and enterprises. We serve as trusted advisors and thought partners, ensuring our clients derive maximum value from our multimodal foundation models and products.The Solutions team, a vital part of Field Engineering, is committed to empowering high-impact and strategic customers. We work closely to tackle technical challenges, provide in-depth expertise, and co-create innovative video AI applications that demonstrate the transformative benefits of our platform.About the RoleWe are seeking a Solutions Architect to assist our strategic clientele in harnessing the full potential of video AI. As the dedicated technical resource for key accounts, you will lead solution design, provide implementation guidance, and co-develop innovative applications that illustrate the capabilities of our multimodal foundation models.In this role, you will offer expert technical advice while collaborating with Sales, Product, Partnerships, and Engineering teams.This position demands a highly self-motivated and creative individual who thrives in an unstructured, fast-paced, and evolving environment.
Join Mercury as an AI Solutions Architect, where you will be instrumental in enhancing our customer-facing chatbot and AI agent experience. In this key role, you will define strategic initiatives to optimize customer interactions with AI agents, ensuring an exceptional user experience. Your responsibilities will include targeted configuration of workflows, performance reviews, and quality coaching for ongoing improvement.You will collaborate closely with teams across Customer Support Strategy and Operations, Engineering, Product, and external vendors to uphold a high standard of quality, safety, and trust in our AI solutions.In addition to chatbot optimization, you will play a critical role in shaping the AI strategy within the Customer Support organization, creating best practices, and empowering your peers to explore AI solutions that boost team efficiency.
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Browse all companies, explore by city & role, or SEO search pages. View directory listings: all jobs, search results, or location & role pages.
