Lead AI Engineer: Architect Agentic & Scale-Ready ML Systems

GlobalLogic

Greater London

Hybrid

GBP 90,000 - 140,000

Full time

3 days ago
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Benefits offered by this job

Health plan
Private healthcare
Pension scheme
Volunteer day
Hybrid social events

Job summary

GlobalLogic, a Hitachi Group Company, seeks a Senior/Lead AI Engineer to design and ship agentic frameworks and evaluation pipelines at enterprise scale. You will own architecture, mentor engineers, and ensure safety, trust, and performance in production systems.

You will collaborate with clients and product teams, apply LangGraph, Kubernetes, and cloud-native tooling, driving governance and observability to reduce hallucinations and latency.

Qualifications

  • 5+ years of software engineering experience, including hands-on experience shipping agentic or LLM-backed systems in production.
  • Familiarity with AI development life cycle practices and methodology.
  • Strong foundations in distributed systems and data pipelines.

Responsibilities

  • Architect multi-agent systems and govern their development across teams.
  • Lead eval-driven development with CI/CD pipelines for LLMs and AI components.
  • Optimize performance and latency for enterprise-scale workloads.
  • Build observability, tracing, and governance tooling for transparency.
  • Mentor engineers and drive technical design reviews and standards.
  • Collaborate with product managers and cloud infra teams to align delivery.

Skills

AI DLC experience
Orchestration
Production Python
Evaluation & observability
Distributed systems
Kubernetes

Tools

LangGraph
MCP-based tool orchestration
AutoGen
LlamaIndex
CrewAI
Kafka
SQL
LangSmith
Arize

Job description

GlobalLogic, a Hitachi Group Company, seeks a Senior/Lead AI Engineer to design and ship agentic frameworks and evaluation pipelines at enterprise scale. You will own architecture, mentor engineers, and ensure safety, trust, and performance in production systems.

You will collaborate with clients and product teams, apply LangGraph, Kubernetes, and cloud-native tooling, driving governance and observability to reduce hallucinations and latency.

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