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Agentic AI Cyber Enablement Lead
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Agentic AI Cyber Enablement Lead
Overview
Our client, a leading global financial institution, is embarking on one of the largest enterprise deployments of Agentic AI technologies, with AI-powered engineering tools being rolled out to more than 35,000 software engineers worldwide.
As the organisation accelerates the adoption of tools such as coding agents and autonomous AI capabilities, they are seeking an experienced Agentic AI Cyber Enablement Lead to drive the safe and secure adoption of these technologies across the engineering community.
This is a unique opportunity to operate at the intersection of Cyber Security, Software Engineering, DevOps and Artificial Intelligence, shaping how engineers build securely with AI whilst influencing behaviour at enterprise scale.
The Role
Working within the Cyber Security function, you will be responsible for designing and delivering an engagement and education programme that enables engineering teams to adopt Agentic AI securely.
This role is not traditional security awareness. The audience is highly technical—Software Engineers, DevOps Engineers, Technical Architects, Solution Architects and Engineering Leaders—and success depends upon your ability to communicate with credibility and influence behavioural change.
You'll work closely with engineering teams, cyber control owners and AI platform specialists to:
- Understand emerging risks,
- Define secure engineering behaviours,
- Embed these into day-to-day engineering practices.
As AI capabilities continue to evolve rapidly, you'll play a key role in ensuring the organisation remains secure whilst enabling innovation.
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Key Responsibilities
Engage directly with engineering stakeholders to promote secure AI adoption. Partner with Cyber Security, Engineering and DevOps teams to define secure behaviours for AI-powered development tools. Translate complex cybersecurity concepts into practical, actionable guidance for engineers.
Core Deliverables
- Design and deliver an enterprise-wide cyber education and engagement strategy focused on the secure use of Agentic AI
- Develop and deliver a variety of engagement activities including:
- Technical training sessions
- Webinars
- Engineering workshops
- Tech community events
- Video content
- Written guidance and playbooks
- Internal communications
- Build an 18-month engagement roadmap supporting the ongoing evolution of Agentic AI capabilities across the organisation
- Gather feedback to continually improve security guidance and influence future security controls
- Support the development of security principles, best practices, and behavioural standards for AI-assisted software development
- Serve as the bridge between Engineering, DevOps and Cyber Security, ensuring security is embedded—not imposed—into engineering workflows
Required Experience
- Strong background in Software Engineering, DevOps, or Platform Engineering
- Experience working within Cyber Security, Application Security, or Secure Software Development
- Excellent understanding of:
- Modern software engineering practices
- CI/CD environments
- Experience with AI-assisted software development tools or a strong understanding of Agentic AI and Large Language Models
- Proven ability to communicate complex technical concepts to engineering audiences
- Experience designing or delivering:
- Technical education programmes
- Enablement frameworks
- Behavioural change initiatives
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Critical soft skills:
- Strong stakeholder management
- Ability to influence senior engineers and technical leaders
Desirable Experience
- Experience working in large global enterprises, particularly in regulated financial services environments
- Knowledge of Secure by Design principles
- Understanding of AI security risks, including:
- Prompt injection
- Data leakage
- Model misuse
- AI governance
- Experience creating technical content including:
- Engineering playbooks
- Developer enablement programmes
- Familiarity with modern engineering tooling and developer experience platforms
Ideal Candidate
An outstanding fit for this role would be someone who previously worked as a Software Engineer or DevOps Engineer, transitioning into Cyber Security or Secure Engineering.
You should combine:
- Deep technical credibility
- Exceptional communication skills
This role is perfect for you if you're passionate about helping engineering teams embrace AI safely, and enjoy operating where Cyber Security, DevOps, and AI converge.
This is a rare opportunity to shape the future of secure software engineering at enterprise scale.
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