Principal AI Coach

AWE; Old Warren; On-site; GBP 46,000 - 72,000; Full time

Benefits offered by this job

9-day working fortnight

Pension scheme

Family leave policies

Career development funding

Employee assistance programme

Life Assurance 4x salary

Discounts

Special Leave Policy

Job summary

AWE is seeking a Principal AI Coach (AI Adoption) to lead practical AI enablement and training across the organisation. You will work with the AI Adoption Lead to coach teams, share real-world AI use cases, and ensure user‑focused delivery that accelerates adoption.

You will build communities of practice, promote responsible AI use, and adapt strategies as AI tools evolve. The role is onsite with a 9-day fortnight.

Qualifications

• Bachelor's degree in a relevant field.
• Experience training or enabling technology adoption in large organisations.
• Ability to help people learn and apply AI/tools in daily work.
• Experience working with users to solve problems.
• Hands-on experience with digital or AI tools to support use cases.

Responsibilities

• Drive real-world AI adoption across the workforce.
• Deliver practical training and coaching.
• Coordinate AI Coaches for consistent support.
• Ground activities in real user problems.
• Build AI communities of practice.
• Evolve training approaches with changing AI tools.
• Identify high-impact AI use cases.
• Collaborate with Learning & Development and AI teams.
• Promote safe, responsible AI use.

Skills

Bachelor's degree

Training/coaching

AI adoption experience

User-focused coaching

Hands-on AI tools

Education

Bachelor's degree

Tools

M365 Copilot

Power Platform

AI tooling

Job description

Principal AI Coach (AI Adoption)

Closing date: 2nd September 2026

Location: RG7 4PR, located between Reading and Basingstoke, with free onsite parking.

Package: £45,560 - £72,000 (depending on your suitability, qualifications, and level of experience)

Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application.

Ready to play your part?

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?

The Principal AI Coach plays a senior, hands‑on role in helping colleagues across AWE discover, understand and use AI in their day‑to‑day work. Working alongside the AI Adoption Lead, they deliver practical training, coaching and real‑world examples that bring AI to life for teams, while lightly coordinating AI Coaches to ensure support is consistent and user‑focused. They act as a key link into Learning & Development, shaping how people learn AI in an engaging and evolving way.

At its core, the role builds confidence, curiosity and safe, effective use of AI to help individuals and teams achieve better outcomes.

Key Accountabilities

• AI Enablement Impact: Drive real-world adoption of AI by helping people understand how it can support their specific roles and outputs.
• Hands-On Training & Coaching: Deliver practical, engaging training and coaching that builds confidence, curiosity and capability across the workforce.
• AI Coach Coordination: Support and coordinate AI Coaches (including B2 roles), ensuring a consistent and high-quality experience while contributing directly to delivery.
• User-Centred Approach: Ensure all activity is grounded in real user problems and opportunities, not generic or overly structured training.
• Communities & Culture: Build and sustain AI communities of practice and champion networks that encourage exploration, sharing and peer learning.
• Dynamic Learning Approach: Continuously evolve training and enablement approaches to reflect rapidly changing AI tools and user needs.
• Practical Value Delivery: Support the identification and use of simple, high-impact AI use cases that demonstrate tangible benefits quickly.
• Cross-Organisation Alignment: Work with L&D, business areas and AI teams to ensure coherent and connected enablement activity.
• Responsible Use: Promote understanding of safe, responsible AI use, ensuring people know both the opportunities and limitations.

Who are we looking for?

We do need you to have the following:

• Bachelor's degree (or equivalent experience) in a relevant field such as Digital Technology, Data, Computer Science, or similar.
• Strong experience in training, coaching or enabling the adoption of technology within a complex organisation.
• Proven ability to help people learn and apply new tools in their day-to-day work, ideally including AI or automation.
• Experience working directly with users to solve real problems and improve outcomes, not just delivering theoretical training.
• Hands-on experience using digital or AI tools to support practical use cases.

Whilst not to be considered a tick list, we'd like you to have experience in some of the following:

• Qualifications or certifications in AI, digital transformation, learning & development, or change management.

• Familiarity with enterprise AI tools (e.g. M365 Copilot, Power Platform or similar).
• Understanding of learning design or change/adoption approaches.
• Background in regulated or secure environments.
• Skilled in working with Learning & Development teams or external training partners.
• Proven ability to support communities of practice and capability‑building initiatives.

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:

• 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.

Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site.