AI Platform Lead Engineer (Contract) – Observability & Security

GlobalLogic; Greater London; On-site; GBP 75,000 - 95,000; Full time

Benefits offered by this job

Competitive pension scheme

Private medical insurance

Annual Volunteering Days

Generous training budget

Health and Wellbeing programs

Family friendly policies

Job summary

GlobalLogic is seeking a Contract Technical Lead / Lead AI Platform Engineer for a 12-month assignment based in Greater London to lead the development of an AI Control Tower platform. The role involves hands-on engineering, architecture design, and partnership with technical experts to ensure robust operation of AI systems.

The ideal candidate should have strong foundations in engineering, fluency in multiple programming languages, and experience with cloud ecosystems, particularly AWS SageMaker. This position offers competitive benefits, including a pension scheme, private medical insurance, and personal development opportunities.

Qualifications

• Experience in building scalable distributed systems or data platforms.
• Experience with cloud-based AI/ML ecosystems.
• Understanding of operational resilience concepts.

Responsibilities

• Lead the architecture, design, and engineering of the AI Control Tower platform.
• Develop scalable, high throughput data pipelines.
• Shape the technical roadmap in partnership with product leaders.

Skills

Strong engineering foundations

Fluency in Python

Fluency in SQL

Fluency in Java

Expertise in AWS SageMaker

Proven experience developing monitoring frameworks

Deep understanding of event-driven architectures

Knowledge of security engineering principles

Experience with CI/CD

Interest in Responsible AI

Tools

DataHub

Glue

Collibra

Job description

GlobalLogic is seeking a Contract Technical Lead / Lead AI Platform Engineer for a 12-month assignment based in Greater London to lead the development of an AI Control Tower platform. The role involves hands-on engineering, architecture design, and partnership with technical experts to ensure robust operation of AI systems.

The ideal candidate should have strong foundations in engineering, fluency in multiple programming languages, and experience with cloud ecosystems, particularly AWS SageMaker. This position offers competitive benefits, including a pension scheme, private medical insurance, and personal development opportunities.