Posted 15 days ago
Senior AI lead
AI Summary
Defines and implements the organisation-wide AI strategy, governance, and roadmap, ensuring secure, compliant, and sustainable AI adoption across engineering, product, and operations.
About this role
We are opening a position for a Senior AI Lead to support a technology-driven organisation in defining and implementing its artificial intelligence strategy. The role will focus on making AI a tangible business enabler across engineering, product development, certification and support activities, while ensuring that security, compliance, traceability and long-term sustainability remain at the core of AI adoption.
Job Responsibilities
Define and continuously develop the organisation-wide AI vision, strategy and implementation roadmap in close cooperation with Engineering, Product, IT, Quality and senior management.
Establish an effective AI governance framework to ensure that AI technologies are adopted responsibly, securely and in accordance with applicable requirements.
Identify and prioritise AI opportunities across engineering, product development, certification, quality, operations and support, with a focus on measurable business value.
Monitor and assess emerging technologies, including Large Language Models, agentic systems and enterprise AI platforms, and advise on their potential adoption.
Define AI architecture principles and solution-selection criteria, while supporting strategic decisions concerning AI platforms, services and tools.
Drive the integration of AI capabilities into existing engineering environments and toolchains while maintaining traceability, configuration management and appropriate engineering governance.
Lead pilots, proof-of-concepts and innovation initiatives, assessing their benefits, risks and scalability before supporting broader deployment.
Promote organisational adoption through training, coaching and awareness initiatives, monitor relevant regulatory developments and provide strategic guidance to management on AI-related matters.
Requirements
You have at least 10 years of professional experience in software engineering, digital transformation, enterprise architecture, data and AI, or a related discipline.
You have demonstrated experience leading AI initiatives, digital transformation programmes, innovation portfolios or organisation-wide technology adoption projects.
You are experienced in developing technology strategies and translating business objectives into clear investment and implementation roadmaps.
You have a strong understanding of modern AI technologies, including Large Language Models, Retrieval-Augmented Generation (RAG), agentic architectures and enterprise AI platforms, as well as their limitations and associated risks.
You are able to assess competing technologies and make strategic recommendations based on technical, business, operational and architectural considerations.
You have experience designing enterprise-level architectures involving multiple interconnected platforms and services, combined with a solid understanding of cybersecurity, data governance, privacy, intellectual property and compliance requirements.
Experience within Air Traffic Management, aerospace, defence, transportation or another safety-critical and highly regulated environment is a strong advantage, as is familiarity with relevant certification and engineering standards.
You combine strategic thinking, technical expertise, autonomy and strong communication skills, with the ability to engage stakeholders at all levels, challenge constructively and support teams throughout organisational change.
Skills
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