Applied AI Architect, Healthcare & Life Sciences
OpenAI· Go To Market
Hybrid (San Francisco)$221k - $278kFull-timePosted 8mo ago
About the role
Senior technical owner for a named portfolio of Healthcare & Life Sciences customers, shaping AI strategy and guiding adoption from discovery through production with OpenAI's AI solutions.
Responsibilities
- - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects.
- - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities.
- - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes.
- - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment.
- - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production.
- - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans.
- - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders.
- - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams.
- - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged.
- - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization.
- - Apply Healthcare & Life Sciences expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities.
- - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices.
Qualifications
- - Significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.
- - Guided enterprise organizations from technical evaluation through production adoption and measurable business impact.
- - Ability to build credibility with senior technical and business leaders and communicate with hands-on engineers.
- - Strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
- - Understanding of modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
- - Proficiency with APIs, SDKs, and languages such as Python or JavaScript; ability to prototype and explain technical tradeoffs.
- - Judgment to determine when to dive deep or involve specialists, and to define clear handoffs and ownership.
- - Experience developing technical account plans, prioritizing complex portfolios, and linking adoption to outcomes.
- - Meaningful Healthcare & Life Sciences expertise or strong fluency with HIM needs.
- - Clear communication and ability to turn ambiguity into practical technical narratives, decisions, or action plans.
- - Collaborative mindset with a focus on responsible deployment of advanced AI.
Skills
Required:Solutions architectureAI deploymentCloud and software architectureHealthcare & Life Sciences domain knowledgeCommunication with executives and engineers
Nice to have:Technical account planning
Benefits
- - Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- - Pre-tax Health FSA, Dependent Care FSA, and commuter accounts
- - 401(k) retirement plan with employer match
- - Paid parental leave (up to 24 weeks for birth parents, 20 weeks for non-birth, plus medical/caregiver leave up to 8 weeks)
- - Paid time off (flexible PTO for exempt; up to 15 days annually for non-exempt)
- - 13+ paid company holidays and paid sick time as required by law
- - Mental health and wellness support
- - Employer-paid basic life and disability coverage
- - Annual learning and development stipend
- - Daily meals and meal delivery credits in eligible offices
- - Relocation support for eligible employees
- - Additional taxable fringe benefits (e.g., charitable donation matching, wellness stipends)
- - Details available during hiring process
Last updated Sep 24, 2026. Interested? Apply on the company site.
About OpenAI
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