Enterprise Technical Success (OpenAI / ChatGPT / Codex/ Agents / API)

AI Success Engineer – Enterprise Technical Success (OpenAI / ChatGPT / Agents / API) HCLTech is looking for a highly talented and self‑motivated AI Success Engineer to join it in advancing the technological world through innovation and creativity. Job Title AI Success Engineer Job ID 70183 Position Type Full‑time Key Responsibilities 1. Post‑Sale Technical Ownership & Account Health Own technical success for a portfolio of strategic enterprise customers Act as customer‑facing technical lead across deployment, adoption, and value realization Define and drive customer adoption roadmaps with milestones and KPIs Maintain strong stakeholder relationships across executive and practitioner levels 2. Workflow Discovery & Use Case Strategy Embed with customer teams to map workflows, pain points, and success criteria Identify, validate, and prioritize high‑impact use cases 3. Deployment Readiness & Technical Enablement Guide architecture configuration and platform setup (SSO/SCIM, RBAC, connectors, etc.) Advise on integration patterns (RAG, tool calling, agents, evaluations) Run technical enablement sessions spanning ChatGPT Enterprise, API, agents, Codex as applicable 4. Program Coordination & Cross‑Functional Navigation Coordinate account workstreams across Architecture, Adoption, Engineering, and Delivery teams Surface technical blockers and field patterns; elevate strategically to internal experts Feed customer insights into roadmap and platform improvement loops 5. Value Measurement & Reporting Define baselines, KPI frameworks, and post‑deployment reporting Track adoption depth, usage health, and business impact outcomes Support expansion by identifying new workflows and growth paths What Success Looks Like (6–12 months) Multiple use cases are in production and actively used Adoption expands in breadth and depth across teams and workflows Customer demonstrates measurable impact and repeatable deployment patterns Technical risks are anticipated early and mitigated proactively Required Skills & Qualifications 8+ years in technical customer‑facing roles (solutions engineering, customer architecture, technical delivery leadership, applied AI deployment) Hands‑on understanding of GenAI systems: APIs/SDKs, retrieval, evals, agentic patterns, tradeoffs Familiarity with enterprise security (SSO, encryption, compliance frameworks) Nice‑to‑Have Direct experience with OpenAI products and enterprise adoption programs Experience operating multi‑workstream programs in complex enterprise environments Strong product instincts: turning field signals into structured feedback Pay and Benefits Pay Range Maximum: $280000 Per Year A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance‑based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need‑based leave with no designated number of leave days per year); and 10 paid holidays per year. Equal Employment Opportunity HCLTec is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. If you have concerns about discrimination in the hiring process, please provide a detailed report of those concerns to View email address on click.appcast.io for investigation. #J-18808-Ljbffr HCLTech