AI Engineer IRC302970

GlobalLogic; United Kingdom; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private healthcare

Gym membership discount

Yoga sessions

Massage at office

Pension scheme

Volunteer day

Social events

Job summary

GlobalLogic seeks a Senior/Lead AI Engineer in the United Kingdom to lead the development of core agentic frameworks and evaluation pipelines. You will mentor engineers, design high-performance multi-agent systems, and ensure production-grade, LLM-backed applications with robust observability and governance.

You will work with LangGraph, MCP-based orchestration, and Kubernetes in a cloud-native environment to deliver scalable, trusted enterprise solutions.

Qualifications

• 5+ years of software engineering experience shipping agentic or LLM-backed systems used in production.
• Experience with AI Development Life Cycle practices and methodology.
• Production Python engineering with a focus on reliability and testability.
• Hands-on orchestration with LangGraph; exposure to MCP-based tooling.
• Experience instrumenting tracing (LangSmith, Arize) and building CI/CD for LLM workflows.
• Knowledge of distributed systems, data pipelines (Kafka, SQL) and cloud-native infra.
• Experience shipping agentic workloads in production, ideally with Kubernetes.

Responsibilities

• Architect Agentic Systems: Design, implement, and govern multi-agent architectures.
• Lead Eval-Driven Development: Establish and scale evaluation harnesses and CI/CD for models.
• Optimize Performance at Scale: Address RAG latency, context-window management, routing.
• Build Observability & Governance: Implement real-time monitoring, tracing, and guardrails.
• Technical Leadership & Mentorship: Review designs, set standards, mentor engineers.
• Cross-functional Collaboration: Align with product managers and cloud infra teams.

Skills

AI DLC experience

Orchestration

Production Python engineering

Evaluation & observability

Engineering foundations

Cloud-native deployment

Tools

LangGraph

MCP-based orchestration

AutoGen

LlamaIndex

CrewAI

LangSmith

Arize

Kubernetes

Kafka

SQL

Job description

United Kingdom - Glasgow, London, Manchester

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

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 [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.