Agentic AI Specialist (Enterprise AI)

AWE plc
Reading, UK
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£61,460.0 - £95,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests Continuous Integration Data Systems DevOps Python (Programming Language) Machine Learning Software Engineering Data Streaming Systems Integration Enterprise Software Applications
+8 more
Delivery Pipeline IT Architecture Containerization AI Platforms Information Technology Machine Learning Operations Virtual Agents Data Pipelines

Job description

  • 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.

Additional duties:

  • 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.

Requirements

Do you have experience in Python?, Do you have a Bachelor’s degree?, * 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.

Work hard, be rewarded:

We ask a lot and set the bar high because our work truly matters. In return we offer balance, with award winning benefits including

Benefits & conditions

Pulled from the full job description

  • Annual leave
  • Employee assistance programme
  • Free parking
  • Company pension
  • Paid volunteer time
  • On-site parking, Package: £61,460 - £95,000 (depending on your 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 (we will pay between 9% and 13% of your pensionable pay depending on your contributions).
  • Family friendly policies: Maternity Leave - 39 Weeks Full Pay and 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 (4 x 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.

About the company

At AWE, it’s not just a job, it’s far more than that. Our shared purpose is to help keep the nation safe. Could this role be the opportunity for you to play your part?

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · WWC Europe 2026

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

Videos

See all

Related articles

See all