Lead AI Agent Engineer (Production Systems)

WeAreTechWomen; Greater London; Vor Ort; GBP 110.000 - 150.000; Vollzeit

Zusammenfassung

Accenture in London and Birmingham is seeking engineers to design and deploy production-grade agentic AI systems across client environments, not just demos. You will own end-to-end architectures, multi-agent orchestration, and real-world evaluation harnesses.

You will work on RAG pipelines, embeddings, and vector search, integrating OpenAI, Anthropic, Vertex AI, and open-source models with cost-aware routing and latency considerations.

Qualifikationen

• Extensive software engineering experience in production environments.
• Hands-on experience designing and deploying agentic AI solutions in production environments.
• Demonstrated experience with agentic orchestration frameworks at production depth.
• 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.
• Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC.

Aufgaben

• 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 with fallback routing, token, cost, and latency management.
• Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling, cost and safety monitoring.
• Embed directly with client engineering teams to design, prototype, and deploy agentic solutions through workshops and proofs of concepts.
• Build reusable patterns, accelerators, and playbooks that scale beyond a single client engagement.
• Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings to client stakeholders.

Kenntnisse

Python

Java

Production debugging

Observability

Kubernetes

Docker

Agentic AI

Tools

LangGraph

CrewAI

AutoGen

Jobbeschreibung

Accenture in London and Birmingham is seeking engineers to design and deploy production-grade agentic AI systems across client environments, not just demos. You will own end-to-end architectures, multi-agent orchestration, and real-world evaluation harnesses.

You will work on RAG pipelines, embeddings, and vector search, integrating OpenAI, Anthropic, Vertex AI, and open-source models with cost-aware routing and latency considerations.