At a Glance
- Tasks: Lead AI strategy and develop innovative solutions for a global streaming platform.
- Company: Join a leading tech company at the forefront of AI advancements.
- Benefits: Enjoy perks like private healthcare, generous pension, and exclusive discounts.
- Other info: Hybrid working model with a vibrant office space and excellent career growth.
- Why this job: Shape the future of AI while working in a dynamic, collaborative environment.
- Qualifications: Advanced degree in Computer Science or related field with AI/ML expertise.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground-breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting-edge technologies into secure, scalable, and high-performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world-class leader.
This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position.
What you'll do:
- Architectural Leadership: Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third-party vendor selection and integration.
- Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security.
- Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third-party commodities, for porting self-serving AI in-house developed solutions.
- Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles.
Solution Design:
- Partner with product and engineering teams to translate business requirements into scalable AI solutions.
- Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies.
- Ensure optimized integration of AI solutions with existing systems and data sources.
Technical Expertise:
- Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high-level advice on opportunities and possible solutions.
- Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices.
- Provide technical guidance and mentorship to the engineering teams.
Collaboration and Communication:
- Foster strong relationships with stakeholders, including business leaders, product managers.
- Collaborate with senior leadership to align AI initiatives with organisational goals.
- Communicate complex technical concepts to non-technical stakeholders effectively.
- Promote a collaborative and innovative AI culture within the whole organisation.
- Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions.
- Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails.
- Work closely with the procurement and legal team in the negotiations with vendors.
Governance and Compliance:
- Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI.
- Ensure compliance with industry standards and international regulations.
What you'll bring:
- Advanced degree in Computer Science, AI, or a related field.
- Contributions to open-source AI projects or published research in AI/ML.
- Extensive experience in software or systems architecture, with strong focus in AI/ML domains.
- Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol.
- Deep understanding of LLMs, prompt engineering, model evaluation, and fine-tuning strategies.
- Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP).
- Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools.
- Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks.
- Excellent leadership, communication, and interpersonal skills.
- Strong analytical and problem-solving abilities.
- Ability to work in a fast-paced, dynamic environment.
The rewards:
- Sky Q, for the TV you love all in one place.
- The magic of Sky Glass at an exclusive rate.
- A generous pension package.
- Private healthcare.
- Discounted mobile and broadband.
- A wide range of Sky VIP rewards and experiences.
Team Overview: Global Streaming Platform team within Global Product develop and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal, Peacock, Sky, NOW, SkyShowtime and Showmax. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport.
Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process.
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 Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
We'd love to hear from you. Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way.
Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Principal Architect - Gen AI in London employer: SwiftCruit
At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.
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We think this is how you could land Principal Architect - Gen AI in London
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We think you need these skills to ace Principal Architect - Gen AI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SwiftCruit.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SwiftCruit and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at SwiftCruit
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If SwiftCruit uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.