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
Agent Orchestration
LangChain, LangGraph, CrewAI - not just conceptual
Agentic Coding Tools
Claude Code CLI, Cursor, OpenAI Codex, Copilot
RAG & Vector Stores
Chroma, Weaviate, Pinecone - knows where RAG breaks
LLM APIs & SDKs
Anthropic, OpenAI, Gemini - prompt design, tool use
Python / TypeScript
Primary languages for agent + backend development
LangSmith / Observability
Tracing, evaluation, debugging agent runs
Cloud Platforms
Azure, AWS, GCP (at least one) - deployment, infra, managed services
API & System Integration
REST, gRPC, Kafka - enterprise integration patterns
MCP / Shared Context
Model Context Protocol, CLAUDE.md, Beads
Agent Evaluation
Testing non-deterministic outputs, guardrails, evals
CI/CD & DevOps
Git, containers, pipelines - agents need to ship
Client Communication
Can present architecture to a CXO without jargon
Not just what you know. What you have shipped.
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
Experience with Claude Code CLI in team environments (CLAUDE.md, shared context, multi-session flows)
Familiarity with LangSmith for agent tracing, evaluation pipelines, and debugging at scale
Has shipped something using MCP (Model Context Protocol) or similar shared-context tooling
QA/testing mindset for agents - systematic evaluation of non-deterministic outputs
Background in IT services or consulting - managing client expectations while building
Experience with SLMs, fine-tuning, or on-device/edge agent deployment
Responsibilities
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Qualifications.
About UsAt 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.
