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Agentic AI Architect / Lead at Infoplus Technologies UK Limited

Position Agentic AI Architect / Lead
Posted 13 Jun 2026
Expired 13 Jul 2026
Company Infoplus Technologies UK Limited
Location London | GB
Job Type Full Time

Job Description:

Latest job information from Infoplus Technologies UK Limited for the position of Agentic AI Architect / Lead. If the Agentic AI Architect / Lead vacancy in London matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Infoplus Technologies UK Limited for the position of Agentic AI Architect / Lead below matches your qualifications.

Duties and Responsibilities

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

Technical Skills Required

Proven experience of:

Agent Orchestration: LangChain, LangGraph, CrewAI - not just conceptual

Agentic Coding Tools: Claude Code CLI, Cursor, OpenAI Codex, Copilot

RAG & Vector Stores: Chroma, Weaviate, Pinecone, know 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

Must have:

  • 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

Bonus - Real Differentiators

  • 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

Job Info:

  • Company: Infoplus Technologies UK Limited
  • Position: Agentic AI Architect / Lead
  • Work Location: London
  • Country: GB

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Agentic AI Architect / Lead at the office London above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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