At a Glance
- Tasks: Lead AI projects, design data pipelines, and collaborate with diverse teams to drive innovation.
- Company: Join the BBC's cutting-edge Generative AI Team focused on transformation and public service.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with exciting challenges and excellent career development opportunities.
- Why this job: Make a real impact in AI adoption at one of the world's most trusted broadcasters.
- Qualifications: Experience in LLM workflows, Python proficiency, and strong collaborative skills.
The predicted salary is between 70100 - 100000 £ per year.
Lead AI Engineer (Gen AI) The Lead AI Engineer (Gen AI) will help the BBC make practical use of AI tools and systems to solve business problems and help our internal teams work effectively and efficiently.
The role will collaborate closely with project managers, data scientists, analysts, domain experts, and the BBC's technical teams to build the data pipelines and technical solutions that enable AI projects to move effectively through piloting to successful handover to the business for scaling.
WHY JOIN THE TEAM These roles will sit within BBC Media Technology and be embedded within the BBC's Strategy and Transformation team, focusing on Gen AI transformation.
The Generative AI Team helps the BBC realise value from rapidly evolving AI capabilities in a way that is practical, responsible and aligned to the BBC's public service mission.
The team's activities include enabling adoption of AI tools across the organisation; leading innovation and transformation work; and leading the BBC's engagement on the wider AI issues that shape our operating environment.
The work we do makes the most of AI to deliver value for the BBC's teams and audiences.
The challenges are new and exciting, and you'll have real influence over how one of the world's most trusted public broadcasters adopts AI in a way that is practical, responsible and true to its values.
Responsibilities Develop secure, reliable and well-designed solutions that support high-quality AI piloting and transition to successful handover to the business for scaling.
Design and build robust data pipelines, models and supporting data structures that enable AI projects to move effectively from piloting to successful handover into the business for scaling.
Work closely with data scientists, analysts, project managers, business partners, researchers and designers to understand requirements and translate them into valuable solutions.
Establish and promote strong engineering practices for data quality, resilience, maintainability and operational performance across the team's work.
Help shape data approaches to architecture, integration and pilot design, ensuring solutions are appropriate for AI experimentation and future scaling.
Provide technical leadership to other engineers, mentoring, code review and setting standards, contributing to a culture of learning and continuous improvement.
Ensure data used within AI projects is managed in line with the BBC's organisational values, security requirements and responsible approach to AI.
Key Experience and Skills Significant experience of designing and delivering LLM-based workflows or applications, including pipelines, models and platform components, with the engineering discipline to build secure, resilient and maintainable systems in complex organisational environments.
Strong engineering practices including proficiency in Python and demonstrable use of AI assisted development tools to improve code quality and delivery pace.
Significant hands‑on experience with: cloud platforms and infrastructure (AWS preferred) - including Infrastructure as Code; container and orchestration tools (e. g.
Docker, Kubernetes), API development frameworks (Fast API or equivalent); Experience of working collaboratively in multidisciplinary teams, translating a range of user, product and research needs into practical engineering solutions.
Demonstrable experience of providing technical leadership to other engineers, mentoring, reviewing code, setting standards and improving engineering practices.
Desirable Criteria Good understanding of data governance, security and quality considerations, with the judgement to apply these appropriately in innovative or experimental contexts.
Experience working in broadcast, media, start‑up or research environments.
Contributions to published technical documents or thought leadership in your area of expertise.
Experience building with Generative AI frameworks (e. g.
Lang Chain, Lang Graph, Pydantic AI) and managed AI services (e. g.
Bedrock, Azure). #J-18808-Ljbffr
