Principal AI Engineer IRC302972

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

Job summary

GlobalLogic seeks a Principal AI Engineer to lead the technical vision and hands-on execution of AI-first products for enterprise clients. You will bridge frontier AI research with production-grade software across autonomous systems, LLM orchestration, real-time ML infrastructure, and intelligent data platforms.

You will own end-to-end delivery, set evaluation standards, and guide stack decisions for efficient, scalable AI deployments while shaping the engineering culture and aligning with

Qualifications

• 10+ years of software engineering experience, including 3+ years building and scaling AI/ML in production.
• Experience with AI DLC lifecycle and end-to-end AI product delivery.
• Deep experience with Python/TypeScript, PyTorch, and ML tooling to deploy production-grade AI systems.

Responsibilities

• Architect and ship AI products, agentic frameworks, and multi-modal application backends into production.
• Establish continuous evaluation pipelines, guardrails, observability, and cost-optimization for production LLM deployments.
• Make build-vs-buy decisions for AI stacks and calibrate RAG vs fine-tuning tradeoffs across squads.
• Define technical culture across AI engineering guilds and foster open-source contributions.

Skills

AI DLC experience

Python/TypeScript

PyTorch

LLM orchestration

Production deployment

MLOps fluency

Product mindset

Tools

LangGraph

LangChain

LlamaIndex

CrewAI

AutoGen

Pinecone

Qdrant

Weaviate

Milvus

Triton

vLLM

LiteLLM

Bifrost

AWS

GCP

Azure

Weights & Biases

LangSmith

MLflow

Job description

Description

GlobalLogic is seeking a Principal AI Engineer to lead the technical vision, architecture, and hands‑on execution of our next‑generation AI‑first products, working directly with our enterprise clients to translate frontier AI capability into product features they can actually run in production. You’ll bridge cutting‑edge AI research and production‑grade software engineering across four core domains: autonomous agentic systems, LLM orchestration/RAG/fine‑tuning, real‑time ML infrastructure, and intelligent data platforms.

Requirements

Who You Are

• 10+ years of software engineering experience, including 3+ years specifically building and scaling AI or ML applications in production.

What You’ll Bring

• AI DLC experience: Proven track record with the AI Development Life Cycle (AI DLC).
• Modern AI stack depth: Python/TypeScript, PyTorch, an orchestration framework (LangGraph, LangChain/LlamaIndex, CrewAI, or AutoGen), and vector databases (Pinecone, Qdrant, Weaviate, or Milvus)
• Model-serving infrastructure: For example Triton/vLLM as well as LLM gateway products such as LiteLLM or Bifrost
• A production track record: Designing complex RAG pipelines, fine‑tuning foundation models (LoRA/QLoRA), and deploying multi‑agent autonomous systems that have run in production not just proofs of concept.
• Cloud & MLOps fluency: AWS/GCP/Azure, containerization, serverless architectures, and MLOps/LLMOps tooling (Weights & Biases, LangSmith, MLflow).
• A product-first mindset: Fluency with evaluation frameworks (Ragas, DeepEval) and a track record of managing latency, cost, and hallucination tradeoffs in a live product, not a lab setting.

Job responsibilities

What You’ll Do

• Own end‑to‑end delivery: Architect and ship AI products, agentic frameworks, and multi‑modal application backends into production.
• Set the evaluation bar: Establish continuous evaluation pipelines, guardrails, observability, and cost‑optimization strategy for production LLM deployments.
• Decide the stack: Own build‑vs‑buy calls e.g. self-hosted vLLM vs. a managed endpoint and the RAG‑vs‑fine‑tune tradeoffs that other squads calibrate against.
• Lead technical culture: Set technical direction across AI engineering guilds: rigorous engineering practice, prototyping velocity, and open‑source contribution.

What You’re Solving

• Autonomous agentic systems & workflows
• LLM orchestration, RAG & fine‑tuning pipelines
• Real‑time machine learning & AI infrastructure
• Intelligent data platforms & context engines

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.