AI Engineer (Copilot)

Responsibilities

• AI Engineering & Solution Delivery
• Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision‑making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes.
• AI Lifecycle Ownership & Responsible AI
• Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage.
• Standards, Governance & Reusable Assets
• Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets ("AI cookbooks"), while building starter agents and configuration patterns that accelerate adoption across Sky.
• Microsoft Copilot Studio Expertise & Enablement
• Cross‑Functional Collaboration, Coaching & Culture Building
• Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge‑sharing culture.
• Innovation, Leadership & Continuous Learning

Requirements

• Strong software development experience in Python and/or Java , with familiarity with the Agile software development lifecycle.
• Proven Automation experience using Public Cloud or Microsoft Technologies
• Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment.
• Understanding of cloud environments such as GCP, AWS, or Azure.
• Strong analytical and problem-solving skills, with attention to performance and maintainability.
• Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly.
• Awareness of AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is desirable.
• Team overview
• The rewards
• There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:
• Sky Q, for the TV you love all in one place
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• Access a wide range of exclusive Sky VIP rewards and experiences
• Inclusion & how you'll work
• We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home.
• The hybrid working expectations for this role are 2 days in the office per week in Osterley or Livingston
• Your office space:
• Osterley:
• Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Oste

Benefits

Additional Information

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group.

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