AI Engineer

Hitachi, Ltd.; Greater London; Hybrid; GBP 110,000 - 170,000; Full time

Job summary

GlobalLogic is seeking a Senior/Lead AI Engineer to own the development of agentic frameworks, evaluation pipelines, and observability tooling for safe, scalable enterprise AI. You will lead architectural directions, mentor engineers, and ship production-grade, LLM-backed applications.

The role requires 5+ years in software engineering, hands-on experience with agentic or LLM-backed systems, and strong Python, observability, and cloud-native skills. Hybrid model offered.

Qualifications

• 5+ years of software engineering experience delivering production AI systems.
• Experience with agentic frameworks and LLM-based architectures.
• Familiarity with LangGraph and MCP-based orchestration.
• Strong Python development focusing on reliability and testability.
• Experience instrumenting tracing and building CI/CD for LLMs.

Responsibilities

• Architect multi-agent systems for production use.
• Lead evaluation-driven development and pipelines for model quality.
• Improve RAG latency and context/window management.
• Build real-time observability and governance tools.
• Mentor engineers and collaborate with product and cloud teams.

Skills

AI DLC

Agentic framework

Orchestration

Python production

Observability

CI/CD for LLMs

Distributed systems

Kubernetes

Tools

LangGraph

AutoGen

LlamaIndex

CrewAI

Kubernetes

Job description

Job Description

GlobalLogic is building AI-first enterprise solutions that help global clients transform their digital platforms and products. As a Senior/Lead AI Engineer, you will own and drive the development of our core agentic frameworks, evaluation pipelines, and observability tooling to ensure they operate with safety, trust, and intelligence at scale. You won't just be integrating AI into a product, you will lead the engineering systems that make these technologies trustworthy, robust, and scalable for enterprise clients.

We are looking for a Senior/Lead AI Engineer to provide technical leadership and architectural direction to our AI engineering team. In this role, you will be responsible for designing high-performance multi-agent systems, establishing robust evaluation standards, and mentoring other engineers to build production-grade, LLM-backed applications.

Requirements

• 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.

What We’re Solving Together

• Hallucination Reduction: Designing deterministic verification loops for enterprise outputs to guarantee factual reliability.
• Latency Optimization: Cutting round-trip time across complex, multi-agent workflows to achieve real-time responsiveness.
• Governance Automation: Building "Policy Agents" that turn static regulatory policies into real-time, automated compliance enforcement guardrails.

Job Responsibilities

• Architect Agentic Systems: Design, implement, and govern multi-agent architectures that serve as the foundational framework for our development teams.
• Lead Eval-Driven Development: Establish, own, and scale the evaluation harnesses and CI/CD pipelines that measure accuracy, hallucination, and performance before any model or system ships.
• Optimize Performance at Scale: Strategically tackle complex challenges like RAG latency optimization, context-window management, and intelligent information routing under enterprise-level production load.
• Build Observability & Governance: Define and build real-time monitoring, tracing, and guardrail compliance tools to guarantee system transparency and policy enforcement.
• Technical Leadership & Mentorship: Lead technical design reviews, set coding standards, and actively mentor mid-level and junior engineers on the team.
• Cross-functional Collaboration: Partner with product managers, client executives, and cloud infrastructure teams to align technical delivery with strategic product goals.

#LI-CM1

What we offer

Why work at GlobalLogic

Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering our 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 also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs.

You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), and discounted gym memberships. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives.

We also love to stay social at our 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.

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.

Headquartered in Silicon Valley, GlobalLogic employs over 25,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals.

At GlobalLogic, we make amazing products — and careers.