AES - DE - Generative AI Solution Architect
Zensar · London, England, GB
Delivery & Architecture - Own end-to-end delivery of AI-native programs - from architecture through production deployment - Design and build multi-agent orch...
Job description
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...