Gen AI Engineer - Enterprise AI & Solutions Architect

Location Cupertino, CA Key Qualifications 5+ years in a technical role — solutions engineering, technical consulting, or systems integration Strong understanding of full‑stack architecture — frontend, backend, APIs, databases; knows how applications are structured and how the pieces connect. Experience in React, TypeScript, Python, and/or Node.js; can read, debug, and modify code confidently. Effective AI‑native builder — uses LLMs (Claude, Copilot, etc.) to write code; knows how to prompt, evaluate output, and iterate until it’s right. Experience integrating with LLMs/AI in applications — API calls, handling responses, building AI‑powered features. UX sensibility — builds things that look and feel good, not just that work. Self‑directed problem solver — given an unfamiliar infrastructure, figures it out. Strong understanding of APIs, data flows, and how enterprise systems connect. Able to navigate and leverage existing platforms — MCPs, enterprise AI tools, internal tooling — without needing to build them from scratch. Can translate between technical and business audiences. Strong prototyping mindset — ship fast, iterate, don’t over‑engineer. Self‑directed and comfortable with ambiguity. Preferred Experience assembling solutions in large enterprise environments with existing tool ecosystems. Familiarity with data analysis tools (SQL, DuckDB, pandas) for workflow automation. Background in Sales Operations, CRM, or enterprise business systems. Salary range $90,000-$140,000 per year. #J-18808-Ljbffr Tata Consultancy Services