Senior AI Engineer (Google)

Company: Guardian Jobs

Location: Location not specified (Remote)

Type: Full-time

Level: lead

Remote: Yes

Posted: 2026-02-24

About this role

Job Description
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.


What You'll Do

  • Act as a technical leader and mentor, guiding engineering teams in AI design, tooling, and development practices.
  • Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes.
  • Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed.
  • Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring.
  • Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms.
  • Stay up to date with industry trends, tools, and best practices in AI engineering

What You'll Bring

  • Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK
  • Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle.
  • 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 s...

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