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Responsible AI Engineering Lead
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Responsible AI Lead – Digital Engineering
Join a leading global telecommunications company at the forefront of AI innovation, digital transformation and responsible technology. This is an exciting opportunity to shape how Artificial Intelligence is governed, developed and deployed across a complex enterprise environment, ensuring AI systems are ethical, trustworthy, transparent and compliant by design.
Job Overview
As the Responsible AI Lead, you will partner closely with engineering, product, privacy, security and data teams to embed Responsible AI principles across the AI-enabled software development lifecycle. You will play a key role in driving AI governance, risk management and regulatory compliance while helping the business unlock the value of AI safely and responsibly.
Contract Details
- Contract Length: until 31/03/2026
- Location: London Paddington (hybrid – twice per week on-site)
- Rate: £625 per day (inside IR35)
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Key Responsibilities
- Lead the implementation of Responsible AI governance frameworks, policies and assessment processes across Digital Engineering.
- Partner with engineering, platform and product teams to embed transparency, explainability, accountability and fairness into AI-enabled development processes.
- Conduct AI model reviews, including fairness assessments, robustness testing, governance validation and documentation reviews.
- Assess third-party AI tools, models and solutions to ensure alignment with Responsible AI standards and regulatory requirements.
- Deliver Responsible AI training, guidance and best practice materials to engineering and technology teams.
- Identify, assess and mitigate AI-related risks, supporting the development of automated controls and governance mechanisms.
- Advise senior stakeholders on ethical, compliant and secure AI development while contributing to the wider AI strategy.
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Key Requirements
- Experience working within Responsible AI, AI Governance, AI Ethics, AI Risk, AI Compliance or a related discipline.
- Strong understanding of AI technologies, machine learning concepts and the ethical considerations surrounding AI adoption.
- Knowledge of AI governance frameworks and emerging AI regulations, including the EU AI Act.
- Experience working with cross-functional teams across engineering, product, data, privacy and security functions.
- Strong stakeholder management, communication and influencing skills, with the ability to engage both technical and non-technical audiences.
- Good understanding of GDPR, privacy-by-design principles and broader technology risk considerations.
Start Date
ASAP
If you're passionate about driving ethical, safe and responsible AI adoption and want to influence AI governance at scale, we'd love to hear from you.
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