SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
OpenAI's AI Architect team partners with Healthcare & Life Sciences organizations to translate cutting-edge AI models into real-world impact. As an Applied AI Architect, you will serve as the senior technical owner and primary technical counterpart for a named portfolio of enterprise customers, acting as the "CTO of your book of business."
You will own the technical account strategy across ChatGPT Enterprise, the OpenAI API, and agentic AI solutions. Working in partnership with Account Directors (who own commercial strategy), you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to production value and measurable customer impact.
Key responsibilities include:
- Serve as the primary technical advisor and long-term 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
- Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, and adoption plans
- Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, and engineering teams
- Qualify and coordinate support from Deployment Engineering, implementation, training, product specialists, and partners
- Remain accountable for technical progress and customer outcomes while ensuring delivery teams own execution
- Track adoption, usage, account health, production readiness, and measurable customer impact
- Apply Healthcare & Life Sciences expertise to recognize repeatable patterns and identify expansion opportunities
- Share customer insights with Product, Engineering, and Research teams to inform product development and reusable practices
You will remain accountable for technical outcomes while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise where needed. This role requires strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations.
REQUIREMENTS:
- Significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success
- Demonstrated success 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 equally well 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
- Ability to prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript
- Sound judgment about when to go deep personally, 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 ability to turn ambiguity into practical technical narratives, executive decisions, or action plans
- Collaborative approach across disciplines with commitment to helping organizations deploy advanced AI responsibly
