GenAI Engineer

This is not a slide-making or prompt-engineering role. We are looking for someone who has built multi-agent AI systems that run in production - not demos, not pilots that died after a sprint. You will anchor AI delivery programs end-to-end, work directly with global clients, and stay sharp on a field that changes every few weeks.

You will report into and replicate the function of a senior AI delivery leader - which means you need both the depth to architect solutions and the presence to walk a CXO through what you built and why it works.

At Zensar, we're "experience-led everything". We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we're a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

• Deployed 2-3 agent-based systems in production - stateful, multi-step, real users

• Used LangGraph for multi-agent orchestration with memory, tool routing, and state management

• Built projects where AI (Claude Code, Codex, Cursor) wrote significant portions of the code

• Implemented RAG pipelines end-to-end - chunking, embedding, retrieval, re-ranking, evaluation

• Integrated agents with real enterprise APIs - not just OpenAI playground or sample data

• Debugged a production agent failure - and fixed it without blaming the model

• Can articulate when NOT to use agents - that is how we know you have built things

Delivery & Architecture

• Own end-to-end delivery of AI-native programs - from architecture through production deployment

• Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent

• Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets

• Define agent topology: tool routing, memory strategy, state machines, fallback handling

Agentic Coding & Development

• Run agentic coding workflows using Claude Code, Cursor, OpenAI Codex, or equivalent CLI tools

• Lead projects where AI writes significant portions of the codebase - and you guide, review, and ship it

• Work with CLAUDE.md, shared context frameworks, and multi-session agent setups for team use

• Debug non-deterministic agent outputs systematically - not by gut feel

Client & Stakeholder Engagement

• Translate business problems into agent architectures for global CXO-level stakeholders

• Run discovery workshops, solution reviews, and delivery cadences with client teams

• Prepare and present technical proposals, POC plans, and roadmaps - own the story end-to-end

Team & Practice

• Mentor junior AI engineers; raise AI engineering quality across the delivery team

• Stay current: evaluate new models, frameworks, and tooling before the hype catches up

• Contribute to internal knowledge bases, reusable frameworks, and accelerators