Senior Agentic AI Engineer - Production Systems

Accenture UK

Greater London

On-site

GBP 120,000 - 180,000

Full time

14 days+
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Job summary

Accenture UK is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production‑grade agentic AI systems across the full enterprise stack. You will work with client engineering teams, lead technical design sessions, and develop reusable patterns that scale beyond individual engagements.

This role sits at the heart of the AI engineering market, offering breadth across industries and vendor fellowships with leading AI teams, plus a direct pathway to advanced delivery programs.

Qualifications

  • Extensive software engineering experience in production environments.
  • Hands-on experience designing and deploying agentic AI solutions in production.
  • Production experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen or equivalent.
  • Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code.
  • RAG pipeline ownership: embeddings, chunking, vector databases, context engineering.
  • LLMOps fundamentals: eval harness design, prompt versioning, production observability.

Responsibilities

  • Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and programme-level lifecycle observability.
  • Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable.
  • Set multi-LLM integration standards: vendor-agnostic architecture, fallback routing and cost governance across providers.
  • Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems.
  • Lead client engineering engagements at senior level — facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and delivery teams.
  • Shape and publish reusable patterns, accelerators, and engineering standards that scale across the practice and reduce ramp-up time on new client engagements.
  • Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme-level AI impact in business terms to senior client stakeholders.

Skills

Software engineering
Agentic AI design
LLM APIs in production
RAG pipelines
Python
Kubernetes
Docker
CI/CD

Tools

LangGraph
CrewAI
AutoGen

Job description

Accenture UK is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production‑grade agentic AI systems across the full enterprise stack. You will work with client engineering teams, lead technical design sessions, and develop reusable patterns that scale beyond individual engagements.

This role sits at the heart of the AI engineering market, offering breadth across industries and vendor fellowships with leading AI teams, plus a direct pathway to advanced delivery programs.

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