Agentic AI Engineer - Production Systems for Enterprises

Accenture PLC; Newcastle; On-site; GBP 70,000 - 110,000; Full time

Job summary

Accenture is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI solutions across the enterprise tech stack. You will collaborate with client engineering teams, lead technical design sessions, and create scalable accelerators that extend beyond individual engagements.

The role emphasizes hands-on production experience with agentic architectures, LLM orchestration, and end-to-end MLOps, including observability and cost management.

Qualifications

• Production-grade AI systems experience.
• Proficient in Python/Java for backend.
• Experience with multiple LLM providers and cost-aware integration.
• Kubernetes, Docker, CI/CD, and IaC.

Responsibilities

• Design and build production-grade agentic AI solutions end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and observability.
• Build and own RAG pipelines: embeddings, chunking, vector search, context window engineering.
• Integrate LLM providers (OpenAI, Anthropic, Vertex AI) with fallback routing and cost control.
• Implement LLMOps in production: eval harnesses, prompt versioning, observability tooling, cost/safety monitoring.
• Collaborate with client teams to analyze SDLC and deploy agentic solutions; run workshops and proofs of concept.
• Create reusable patterns and playbooks to accelerate future engagements.

Skills

Python

Java

Backend development

LLMOps

LangGraph

CrewAI

AutoGen

LLM APIs

Kubernetes

Docker

Observability

Production debugging

Tools

LangSmith

Braintrust

CI/CD

Job description

Accenture is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI solutions across the enterprise tech stack. You will collaborate with client engineering teams, lead technical design sessions, and create scalable accelerators that extend beyond individual engagements.

The role emphasizes hands-on production experience with agentic architectures, LLM orchestration, and end-to-end MLOps, including observability and cost management.