Applied AI Architect, Retail

OpenAI

. Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects .

Posted 9/17/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $217,000 - $276,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing Applied AI Architectures and guiding enterprise organizations through technical evaluations to achieve measurable business impact. Strong ability to build relationships with senior technical leaders and communicate effectively across disciplines.

Highest-signal resume keywords

Applied AI Architecture DevelopmentTechnical Account LeadershipCustomer-Facing Technical RolesRetail ExpertiseSoftware and Cloud Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

APIsDistributed SystemsData IntegrationIdentity ManagementSecurityPrivacyPythonJavaScriptModel EvaluationEnterprise AI Workflows

Soft Skills

Clear CommunicationCollaborationJudgmentCredibility BuildingProblem-Solving

Industry Keywords

Technical Account PlanCustomer Portfolio ManagementBusiness OutcomesTechnical MilestonesAdoption Plans

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaScriptPython

About the role

Key responsibilities & impact

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 stakeholders
Qualify and coordinate support from deployment engineering, implementation, training and enablement, product and domain specialists, partners, and delivery teams
Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution
Track adoption, usage, account health, production readiness, and measurable customer impact
Apply Retail expertise to recognize repeatable patterns, sharpen customer priorities, and identify expansion opportunities
Share customer insights with Product, Engineering, and Research to improve products, architecture guidance, and reusable practices

Requirements

What you’ll need

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 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
Ability to prototype and work confidently with APIs, SDKs, and languages such as Python or JavaScript
Sound judgment about involving specialists and defining 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 retail and consumer business needs
Clear communication and ability to turn ambiguity into a technical narrative, executive decision, or action plan
Ability to work collaboratively across disciplines and deploy advanced AI responsibly
Ability to work from the US office three days per week
Authorization to work in the country where the job is located

Benefits

Comp & perks

Equity
Performance-related bonus(es) for eligible employees
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents)
Paid medical and caregiver leave (up to 8 weeks)
Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays
Multiple paid coordinated company office closures throughout the year
Paid sick or safe time
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend
Daily meals in offices and meal delivery credits as eligible
Relocation support for eligible employees
Charitable donation matching and wellness stipends may also be provided
Reasonable accommodations for applicants with disabilities
Immigration and sponsorship support may be provided based on individual circumstances