Frontier AI Engineer: Multi-Agent Systems Architect

Cognizant; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Cognizant in London is seeking a Frontier Engineer to design, deploy and continuously improve AI-native systems for leading clients. You will collaborate with a lean pod to build multi-agent AI solutions and translate bold ideas into production-ready capabilities.

The role emphasizes AI tool fluency, prompt engineering and responsible AI practices, with a hybrid work model requiring three days per week in an office in London.

Qualifications

• 3-10 years of technical delivery experience with strong AI-tool fluency across the full stack.
• Hands-on experience with agentic coding and multi-agent orchestration using LangChain, AutoGen or LangGraph.
• Strong prompt and intent engineering skills, with the ability to validate AI-generated code.
• Experience designing RAG pipelines and managing vector databases to ground and improve agent accuracy.
• LLMOps and model lifecycle management experience, including guardrail implementation, AIOps observability and CI/CD for AI systems.

Responsibilities

• Build and orchestrate multi-agent AI systems, integrating agent outputs into production environments that solve real business problems.
• Design intent-driven prompts and workflows for AI coding agents, applying human judgment to validate quality, safety and accuracy.
• Create scalable RAG architectures, vector stores and knowledge systems that enable trustworthy and context-aware AI experiences.
• Deploy, monitor and optimize LLMs and AI agents in production, implementing responsible AI guardrails and observability practices.
• Build AI-embedded applications and workflows using enterprise AI platforms, automation tools and modern engineering practices.

Skills

AI delivery experience

LLMOps experience

Context retrieval engineering

Business-outcome orientation

Agentic engineering

Tools

LangChain

AutoGen

LangGraph

Vector databases

CI/CD for AI

Job description

Cognizant in London is seeking a Frontier Engineer to design, deploy and continuously improve AI-native systems for leading clients. You will collaborate with a lean pod to build multi-agent AI solutions and translate bold ideas into production-ready capabilities.

The role emphasizes AI tool fluency, prompt engineering and responsible AI practices, with a hybrid work model requiring three days per week in an office in London.