Responsibilities
* Lead AWE's enterprise AI delivery, turning prototypes into secure, scalable AI solutions that drive innovation and efficiency across the organisation.
* Lead a cross‑functional AI engineering team, providing technical and team leadership for enterprise AI development.
* Own the end‑to‑end AI architecture across agents, models, data flows and integrations, ensuring solutions are secure, scalable and aligned to a coherent enterprise ecosystem.
* Oversee design, build and production deployment of AI services, ensuring security, compliance, reliability and operational readiness.
* Establish the infrastructure, tooling and automated pipelines needed for efficient development, testing, deployment, monitoring and lifecycle management of AI models and agents.
* Deliver secure APIs, data pipelines and connectors so AI solutions integrate effectively with enterprise systems and business processes.
* Implement monitoring, incident management and continuous optimisation to ensure dependable, cost‑efficient AI services in production.
* Provide architectural leadership, uphold engineering and security standards, and mentor engineers to grow internal capability.
* Work closely with AI Adoption, AI Platform & Capability Development, Governance and business teams to move solutions from prototype to enterprise scale.
* Foster a high‑performing engineering culture focused on rapid delivery, continuous improvement and realisation of AI value.
* Maintain architecture standards, service metrics and support models to ensure AI services remain accurate, efficient and sustainable.
* Operate effectively within AWE's high‑security environment, following strict safety, security and assurance protocols.
Qualifications
* Bachelor's degree (or equivalent experience) in Computer Science, Software Engineering, Data Science or a related STEM field.
* Substantial experience designing, building and deploying enterprise AI/ML solutions, including technical leadership on complex projects.
* Track record of delivering secure, scalable software or data systems, with experience leading a small engineering team and/or delivery partners.
* Strong leadership and communication skills, with the ability to guide technical teams and work effectively with stakeholders.
* Deep knowledge of modern AI/ML architectures, including practical experience developing or integrating machine learning models or AI agents.
* Strong software engineering capability, including Python, cloud platforms, and MLOps/DevOps practices such as CI/CD pipelines, containerisation, automated testing, and model deployment and monitoring.
* Ability to meet AWE's security clearance requirements and work within a high‑security environment.
* Experience in a highly regulated or secure industry, such as defence, government or nuclear, would be beneficial.
Benefits
* Salary: £61,460 - £95,000 (depending on suitability, qualifications and level of experience).
* 9‑day working fortnight – meaning you get every other Friday off work, in addition to 270 hours of annual leave.
* Market‑leading contributory pension scheme (company contribution between 9% and 13% of pensionable pay, based on contributions).
* Family‑friendly policies: Maternity Leave – 39 weeks full pay; Paternity Leave – 4 weeks full pay.
* Opportunities for professional career development, including funding for annual membership of a relevant professional body.
* Employee Assistance Programme and Occupational Health Services.
* Life Assurance (four times annual salary).
* Discounts – access to savings on a wide range of everyday spending.
* Special Leave Policy, including paid time off for volunteering, public service (including reserve forces) and caring.
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