Lead AI Platform Engineer (Contract)

We are GlobalLogic, a Hitachi Group Company and a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses.

At GlobalLogic, we have a strong track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century

.
We are seeking to hire an experienced Contract Technical Lead / Lead AI Platform Engineer (Contract) into our Engineering Practice. This is a 12 month assignment (inside IR35), to start 2-4 week

s.
This is a handson, high impact role at the intersection of AI governance, distributed systems, observability, and platform engineering to lead technical delivery for an AI centralised platform - Control Tow

er.
We’re looking for a Technical Lead to drive the endtoend build of this platform, shape its architecture, and partner with deep technical SMEs across the business to ensure AI systems operate with the highest levels of performance, security, and responsible oversi

ght.
What We’re Lookin

g ForYou’ll bring a blend of strong engineering foundations, platform ownership experience, and an enthusiasm for safe and scalable AI. Specific

• ally:
  Strong engineering foundations, with experience building scalable distributed systems or data plat
• forms.Fluency in Python, SQL, Java, and modern data processing frame
• works.Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (requ
• ired).Proven experience developing monitoring frameworks, observability pipelines, and dashb

stems.
In a

• dditionExposure to MLOps, LLMOps, or model lifecycle mana
• gement.Awareness of model risk and regulatory frameworks (e.g., SS1/23, NIST
• AI RiskManagement Fram
• ework).Understanding of operational resilience concepts and SRE practices (SLIs
• /SLOs).Experience with data lineage or governance tooling (DataHub, Glue, Col
• libra).Interest in Responsible AI, explainability, fairness/bias, and governance auto

mation.
What Y

• ou’ll Do
  Lead the architecture, design, and engineering of the AI Control Tower
• platform.Build the core framework that enables AI observability, guardrails, performance monitoring, and lifecycle ma
• nagement.Shape the technical roadmap in partnership with product leaders, ensuring delivery against ambitious mi
• lestones.Establish engineering standards, patterns, and integration approaches used across the
• platform.Engineer a Robust, Resilient, and Secure AI Env
• ironment.Develop scalable, highthroughput data pipelines and monitoring
• systems.Ensure endtoend observability across model development, deployment, and runtime op
• erations.Embed secure-by-design principles, strong IAM practices, and regulatory compliance into the platform arch
• itecture.Ensure all AI systems are observable, monitored, and measurable from model training through to pr
• oduction.Drive Deep Technical Collaboration and partner with SMEs across data engineering, platform engineering, security, risk, and MLOps and Independent Model Monitori
• ng (IMM).Support governance of AI systems through transparent metrics, automated reporting, and integrated control mechanisms and bring thought leadership on Responsible AI, emerging standards, and new

tooling.

We hire based on expertise, potential and enthusiasm to make a difference, then we give you the tools and skills you need to create impact. This role is based in our UK&I region - hybrid either London or

Edinburgh.
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 indiv

idual needs.
We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and v