Agentic AI Engineer: Production LLM Orchestration

3003 Accenture (UK) Limited Company; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Accenture is seeking an experienced technologist to design and deploy agentic AI systems in production. You will own multi-agent orchestration, RAG pipelines, and LLM provider abstractions, ensuring scalable, observable solutions across cloud-native environments.

You will collaborate with client teams to prototype, validate, and operationalize AI capabilities, leveraging Kubernetes, Docker, and modern CI/CD practices. This role emphasizes measurable impact and cost-aware delivery.

Qualifications

• Hands-on experience designing and deploying agentic AI solutions in production environments.
• Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent.
• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code with provider abstraction and latency/cost tradeoffs.

Responsibilities

• Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability.
• Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets.
• Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management.
• Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring.
• Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs.
• Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster.
• Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms.

Skills

Agentic AI systems

LLM integration

RAG pipelines

Python

Kubernetes

Docker

Observability

Production debugging

Tools

LangGraph

CrewAI

AutoGen

OpenAI API

Vertex AI

Anthropic API

Job description

Accenture is seeking an experienced technologist to design and deploy agentic AI systems in production. You will own multi-agent orchestration, RAG pipelines, and LLM provider abstractions, ensuring scalable, observable solutions across cloud-native environments.

You will collaborate with client teams to prototype, validate, and operationalize AI capabilities, leveraging Kubernetes, Docker, and modern CI/CD practices. This role emphasizes measurable impact and cost-aware delivery.