OpenAI

Applied AI Architect (Healthcare and Life Sciences)

In short

This role owns technical strategy for healthcare and life sciences customers, guiding them from discovery and evaluation through deployment and measurable business impact. It is posted by OpenAI, covering enterprise AI architecture across models, applications, data integrations, security, privacy, and governance, plus leading prototypes and proofs of value. It demands customer-facing technical experience, software and cloud architecture knowledge, familiarity with modern AI systems and LLMs, prototyping skills in Python/JavaScript/API/SDK, and healthcare and life sciences domain expertise.

About the Role
You will own technical strategy for healthcare and life sciences customers, guiding them from discovery and evaluation through deployment, adoption, and measurable business impact. You will create AI architectures and adoption plans, lead evaluations and prototypes, coordinate specialists, track technical outcomes, and share insights that improve products and reusable practices.
Requirements
•Customer-facing technical experience in solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success
•Experience guiding enterprise organizations from evaluation through production adoption and measurable business impact
•Software and cloud architecture knowledge, including API, distributed system, data integration, identity, security, and privacy
•Knowledge of modern AI systems, frontier LLM, agentic application, model evaluation, retrieval, or enterprise AI workflow
•Ability to prototype and work with API, SDK, Python, or JavaScript
•Experience developing technical account plans and prioritizing complex customer portfolios
•Healthcare and life sciences expertise or fluency
Responsibilities
•Serve as the primary technical advisor for customers and prospects
•Own technical account plans, milestones, adoption priorities, and expansion opportunities
•Lead discovery to identify, qualify, and prioritize business use cases
•Develop AI architectures spanning models, applications, data, integrations, security, privacy, governance, evaluation, and deployment
•Guide customers through evaluations, demonstrations, workshops, prototypes, and proofs of value
•Maintain use-case portfolios with ownership, blockers, success measures, delivery needs, and adoption plans
•Coordinate delivery, implementation, enablement, product, domain, and partner specialists
•Track adoption, account health, production readiness, and customer impact
•Apply healthcare and life sciences expertise to identify repeatable patterns and expansion opportunities
•Share customer insights with Product, Engineering, and Research
Benefits
•Medical, dental, and vision insurance
•Employer contributions to Health Savings Accounts
•Health FSA, Dependent Care FSA, and commuter pre-tax accounts
•401(k) retirement plan with employer match
•Paid parental, medical, and caregiver leave
•Flexible PTO or up to 15 days of annual PTO
•Paid company holidays, office closures, and sick or safe time
•Mental health and wellness support
•Employer-paid life and disability coverage
•Daily office meals and eligible meal delivery credits
•Relocation support
•Charitable donation matching and wellness stipends

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