Lead AI Engineer IRC302971

GlobalLogic; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Health plan

Private healthcare

Gym discounts

In-office wellness

Pension scheme

Volunteer day

Social events

Job summary

GlobalLogic is building AI-first enterprise solutions. As an AI Engineer, you’ll own core agentic frameworks, evaluation pipelines, and observability tooling for safe, trustworthy scale.

You’ll contribute to production Python engineering, orchestration, and cloud-native deployment, working in a hybrid model that supports flexible options across teams and regions.

Qualifications

• 5+ years of software engineering experience, including hands-on experience shipping agentic or LLM-backed systems in production.
• AI Development Life Cycle (AI DLC) practices and methodology.
• Production Python engineering with clean, modular, testable code and reliability.
• Experience instrumenting tracing and building CI/CD pipelines for LLMs.
• Distributed systems, scalable data pipelines (Kafka, SQL), and cloud-native infrastructure.
• Shipping agentic workloads into production environments, ideally with Kubernetes.

Responsibilities

• Architect agentic systems: design multi-agent architectures the team builds on top.
• Practice eval-driven development: build evaluation harnesses measuring accuracy, hallucination, and performance before shipping.
• Solve performance at scale: tackle RAG latency, context-window management, and intelligent information routing under production load.
• Build observability: ship tooling for real-time insight into model behavior and guardrail compliance.

Skills

AI DLC experience

Orchestration

Production Python engineering

Evaluation & observability

Engineering foundations

Cloud-native deployment

Job description

GlobalLogic is building AI-first enterprise solutions that help global clients transform their digital platforms and products. As an AI Engineer, you’ll own the development of the core agentic frameworks, evaluation pipelines, and observability tooling that let it operate with safety, trust, and intelligence at scale. You won’t just be integrating AI into a product, you’ll be building the engineering systems that make it trustworthy.

Requirements

Who You Are

• 5+ years of software engineering experience, including hands‑on experience shipping agentic or LLM‑backed systems that are used in production.

What You’ll Bring

• AI DLC experience: Demonstrated experience with AI Development Life Cycle practices and methodology.
• Orchestration: Production, hands‑on experience with an agentic framework such as LangGraph, plus familiarity with MCP‑based tool orchestration. Exposure to AutoGen, LlamaIndex, or CrewAI is a plus.
• Production Python engineering: Clean, modular, testable, maintainable code — you care about system reliability as much as model output.
• Evaluation & observability: Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs.
• Engineering foundations: Distributed systems, scalable data pipelines (Kafka, SQL), and cloud‑native infrastructure.
• Cloud‑native deployment: Deep familiarity with shipping agentic workloads into production environments, ideally leveraging Kubernetes for enterprise scale.

Job responsibilities

What You’ll Do

• Architect agentic systems: Design and implement multi‑agent architectures that the rest of the team builds on top of.
• Practice eval‑driven development: Build and own the evaluation harnesses that measure accuracy, hallucination, and performance before anything ships.
• Solve performance at scale: Tackle RAG latency optimization, context‑window management, and intelligent information routing under real production load.
• Build observability: Ship tooling that gives the team real‑time insight into model behavior and guardrail compliance.

What We’re Solving Together

• Latency optimisation: cutting round‑trip time across multi‑agent workflows.
• Governance automation: turning static policy into «Policy Agents» that enforce compliance in real time.

What we offer

Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences - providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs.

• You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages.
• We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives.
• Colleagues are entitled to an annual volunteering day - so you can take time to support a cause close to your heart.
• We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more.

We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long‑term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy.

We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact uki‑[e-mail] .

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward‑thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.