Lead AI Platform Engineer (Contract) in City of London

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 weeks. This is a hands-on, 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 Tower.

We’re looking for a Technical Lead to drive the end-to-end 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 oversight.

What We’re Looking For

• Strong engineering foundations, with experience building scalable distributed systems or data platforms.
• Fluency in Python, SQL, Java, and modern data processing frameworks.
• Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (required).
• Proven experience developing monitoring frameworks, observability pipelines, and dashboards.
• Deep understanding of event-driven architectures and messaging systems (Kafka, Vert.x, or similar).
• Knowledge of security engineering, IAM principles, encryption, and cloud security controls.
• Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML systems.
• Exposure to MLOps, LLMOps, or model lifecycle management.
• Aware of model risk and regulatory frameworks (e.g., SS1/23, NIST AI Risk Management Framework).
• Understanding of operational resilience concepts and SRE practices (SLIs/SLOs).
• Experience with data lineage or governance tooling (DataHub, Glue, Collibra).
• Interest in Responsible AI, explainability, fairness/bias, and governance automation.

What You’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 management.
• Shape the technical roadmap in partnership with product leaders, ensuring delivery against ambitious milestones.
• Establish engineering standards, patterns, and integration approaches used across the platform.
• Engineer a Robust, Resilient, and Secure AI Environment.
• Develop scalable, high-throughput data pipelines and monitoring systems.
• Ensure end-to-end observability across model development, deployment, and runtime operations.
• Embed secure-by-design principles, strong IAM practices, and regulatory compliance into the platform architecture.
• Ensure all AI systems are observable, monitored, and measurable from model training through to production.
• Drive Deep Technical Collaboration and partner with SMEs across data engineering, platform engineering, security, risk, and MLOps and Independent Model Monitoring (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 individual needs.

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