Applied AI Architect, Retail
Remote • San Francisco • FullTime
Posted 1d ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
As an AI Architect, you will be the senior technical owner for a named portfolio of Retail customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding 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. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations.
Responsibilities
- Serve as the primary technical advisor and long-term technical relationship owner for customers and prospects.
- Partner with Account Directors on account strategy, owning the technical account plan, milestones, adoption priorities, and expansion opportunities.
- Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to 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, delivery needs, and adoption plans.
- Develop trusted relationships and technical champions across customer stakeholders.
- Qualify and coordinate support from various delivery teams and partners.
- Remain accountable for technical progress and customer outcomes.
- Track adoption, usage, account health, production readiness, and measurable customer impact.
- Apply Retail expertise to recognize repeatable patterns and identify expansion opportunities.
- Share customer insights with Product, Engineering, and Research teams.
Requirements
- Significant experience in customer-facing technical roles (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 and communicate effectively with hands-on engineers.
- Strong software and cloud architecture foundations (APIs, distributed systems, data integration, identity, security, 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 like 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 Retail expertise or strong fluency with the needs of retail and consumer businesses.
- Clear communication skills and ability to turn ambiguity into a practical technical narrative, executive decision, or action plan.
- Collaborative work style and commitment to helping organizations deploy advanced AI responsibly.