Applied AI Architect, Healthcare & Life Sciences

Details

The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. The team works with Healthcare & Life Sciences organizations to identify where AI can create value, design secure and scalable solutions, and move solutions from early exploration into sustained production adoption. The role works closely with Sales, Product, Engineering, Research, and specialist delivery teams.

As an AI Architect, you will be the senior technical owner for a named portfolio of Healthcare & Life Sciences customers and the primary technical counterpart to their leadership teams. You will shape each customer's AI strategy and guide their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact.

You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value.

You will remain accountable for the technical outcome while bringing in specialists across deployment, implementation, enablement, security, product, and partners. This role requires strong industry fluency, sound architectural judgment, and the ability to move between executive strategy and hands-on technical conversations.

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 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.
• Maintain a focused use-case portfolio with 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 to improve products, architecture guidance, and reusable practices.

Requirements

• Significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.
• Experience guiding enterprise organizations from technical evaluation through production adoption and measurable business impact.
• Ability to build credibility with senior technical and business leaders while communicating effectively 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 large language models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
• Ability to prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript.
• Sound judgment about when to work deeply on an issue, when to involve specialists, and how to define clear handoffs and ownership.
• Experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
• Meaningful Healthcare & Life Sciences expertise or strong fluency with the needs of Healthcare & Life Sciences organizations.
• Clear communication skills and the ability to turn ambiguity into a practical technical narrative, executive decision, or action plan.
• Ability to work collaboratively across disciplines and help organizations deploy advanced AI responsibly.

Benefits

• Base salary of $221,000–$278,000 per year.
• Equity and commission.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for healthcare, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, office closures, and paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional taxable fringe benefits may be provided.

OpenAI is an equal opportunity employer committed to reasonable accommodations and responsible AI deployment.