Principal Architect - Gen AI

🔒 Confidential Employer
Posted 3 May 2026
LOCATION
Osterley
TYPE
Full-time
LEVEL
Director
CATEGORY
Artificial Intelligence
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Generative AI Large Language Models (LLMs) LangChain RAG TensorFlow PyTorch Cloud Platforms (AWS, Azure, GCP) AI Governance

FULL DESCRIPTION

Principal Architect - Gen AI

Company: [Employer hidden — view at passion-project.co.uk]

Location: Osterley

Contract Type: Full-time

Work Type: Hybrid

Employment Level: Director

Salary: Not specified

Job Description

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.
  • 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, models, tools, and technologies.
  • Ensure optimized integration of AI solutions with existing systems and data sources.
  • Technical Expertise: Collaborate with product teams to refine AI related product requirements and provide early advice.
  • Stay current with emerging AI trends, technologies, and best practices.
  • Provide technical guidance and mentorship to engineering teams.
  • Collaboration and Communication: Foster strong relationships with stakeholders and collaborate with senior leadership.
  • Communicate complex technical concepts to non-technical stakeholders effectively.
  • Promote a collaborative and innovative AI culture.
  • Work closely with project managers, data scientists, developers, and IT teams.
  • Partner with FinOps team and procurement/legal team.
  • Governance and Compliance: Establish governance and define standards 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.
  • Extensive experience in software or systems architecture with a focus on AI/ML.
  • Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, vector databases, or MCP protocol.
  • Deep understanding of LLMs, prompt engineering, model evaluation, and fine-tuning.
  • 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, and ethical AI frameworks.
  • Excellent leadership, communication, and analytical skills.

The rewards

  • [Employer hidden] Q, for the TV you love.
  • The magic of [Employer hidden] Glass at an exclusive rate.
  • A generous pension package.
  • Private healthcare.
  • Discounted mobile and broadband.
  • [Employer hidden] 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.

Sign up free — access 45,000+ UK sponsor-licensed jobs