AI Software Engineer at GlobalLogic UK&I, London, £Contract Rate

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 Software Engineer/AI Platform Software Engineer into our project team. 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 an Software Engineer who will work as part of a cross-functional engineering team to build the pipelines, services, and monitoring capabilities. You will develop core components of an AI platform, contribute to its evolution, and ensure our AI systems are measurable, transparent, and wellcontrolled from model training through to production.

What We're Looking For

You'll bring a blend of strong engineering foundations, platform ownership experience, and an enthusiasm for safe and scalable AI. Specifically:

• Hands-on engineer who enjoys solving complex data and observability problems and are passionate about building safe, transparent, and reliable AI system.
• Strong engineering foundations, with experience building scalable distributed systems or data platforms.
• Proficiency in Python, SQL, Java, and modern data processing frameworks.
• Experience working with cloud-based AI/ML ecosystems, particularly AWS SageMaker (required).
• Understanding of monitoring frameworks, observability pipelines, and dashboards.
• Familiarity of event-driven architectures and messaging systems.
• Knowledge of security engineering, IAM principles, encryption, and cloud security controls.

In addition:

• Awareness of model risk and regulatory frameworks.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.
• Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML systems.

What You'll Do

As a Software Engineer for the AI Control Tower, you will:

• Build and Enhance Platform Capabilities. Contribute to the development of data pipelines, APIs, and services that power the AI Control Tower.
• Implement components supporting AI observability, guardrails, performance monitoring, and life cycle controls.
• Develop integrations with model registries, feature stores, lineage tools, and governance systems.
• Write clean, well-tested, scalable code in Python, Java, SQL, and modern data/stream processing frameworks.
• Engineer a Robust, Resilient, and Secure AI Environment.
• Build high-throughput pipelines to capture metrics:-
• Model performance, drift, and degradation.
• Operational and service health.
• Security posture and policy adherence and guardrail compliance for ML and GenAI systems.
• Implement observability tooling using logging, metrics, tracing, and event-driven patterns.
• Apply secure-by-design principles, strong IAM practices, and cloud security controls.

In addition:

• Work closely with data engineering, platform engineering, security, MLOps, and Monitoring teams.
• Contribute to integration efforts with AWS SageMaker, model pipelines, and enterprise data platforms. Use technologies such as AWS, SageMaker, Python, Java, Kafka, OpenTelemetry, and cloud-native monitoring stacks.
• Support governance and reporting workflows with automated checks, standardised metrics, and platform tooling.
• Contribute to reusable components, shared libraries, and engineering patterns.
• Participate in adopting new technologies around Responsible AI, observability, and runtime monitoring.
• Support continuous improvement of CI/CD, infrastructure-as-code, and testing practices.

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.

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.