At a Glance
- Tasks: Lead the design and engineering of an innovative AI platform, ensuring performance and security.
- Company: Join a forward-thinking tech company committed to inclusivity and innovation.
- Benefits: Enjoy health plans, flexible working, training budgets, and recognition schemes.
- Other info: Dynamic work environment with opportunities for career growth and collaboration.
- Why this job: Make a real impact in AI governance and platform engineering while developing your skills.
- Qualifications: Experience in scalable systems, Python, cloud ecosystems, and a passion for responsible AI.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking to hire an experienced Contract Technical Platform Lead / Lead AI Platform Engineer - Contract. 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 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.
Job responsibilities:
You’ll bring a blend of strong engineering foundations, platform ownership experience, and an enthusiasm for safe and scalable AI.
- 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.
In addition:
- Awareness 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.
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.
What we offer:
- Employees benefit from a comprehensive health and wellness plan, private clinical and mental healthcare, discounted gym memberships, a competitive pension scheme, recognition schemes through bonus/reward initiatives, and an annual volunteering day.
- We support a hybrid working model with flexible options and a generous training budget.
- We provide a supportive environment for skill development.
Equal Opportunity Statement:
We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation.
Contract Lead AI Platform Engineer IRC296917 employer: Hitachi Vantara Corporation
At GlobalLogic, we pride ourselves on fostering an inclusive and positive work culture that empowers our employees to thrive. As a Contract Lead AI Platform Engineer, you will benefit from a comprehensive health and wellness plan, generous training budget, and flexible hybrid working options, all while contributing to cutting-edge AI governance and platform engineering. Join us to be part of a team that values diversity, promotes fairness, and supports your professional growth in a high-impact role.
Contact Details:
Hitachi Vantara Corporation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Contract Lead AI Platform Engineer IRC296917
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We think you need these skills to ace Contract Lead AI Platform Engineer IRC296917
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