At a Glance
- Tasks: Lead the development of an AI platform, ensuring performance and security.
- Company: GlobalLogic, a forward-thinking tech company with a focus on inclusivity.
- Benefits: Comprehensive health plan, private healthcare, competitive pension, and generous training budget.
- Other info: Enjoy a hybrid work model and fun social events with colleagues.
- Why this job: Make a real impact in AI governance while working with cutting-edge technology.
- Qualifications: Experience in scalable systems, Python, SQL, and cloud-based AI ecosystems required.
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.
Requirements- 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.
You’ll bring a blend of strong engineering foundations, platform ownership experience, and an enthusiasm for safe and scalable AI. Specifically:
- 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.
- 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.
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.
You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), and discounted gym memberships. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day – so you can take time to support a cause close to your heart. We also love to stay social at our trips to the zoo, quiz nights, sports events, theatre trips and much more.
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: GlobalLogic
At GlobalLogic, we pride ourselves on fostering an inclusive and positive work culture that empowers our employees to excel in their careers. As a Contract Lead AI Platform Engineer, you will benefit from a comprehensive health and wellness plan, generous training budgets, and a flexible hybrid working model tailored to individual needs. Our commitment to employee growth, coupled with exciting social events and a supportive environment, makes us an exceptional employer for those seeking meaningful and rewarding opportunities in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Contract Lead AI Platform Engineer IRC296917
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at GlobalLogic who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at GlobalLogic!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at GlobalLogic to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace Contract Lead AI Platform Engineer IRC296917
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at GlobalLogic!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Contract Lead AI Platform Engineer IRC296917 at GlobalLogic! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at GlobalLogic
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that GlobalLogic uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at GlobalLogic that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest GlobalLogic, so it's relevant and sparks conversation during your interview.
