AmazonPosted 1mo ago

Advanced Compute Specialist (Chips), UKGI Public Sector

Advanced Compute Specialist (Chips), UKGI Public Sector at Amazon scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

GB, Londonfull-time

AI in this role

ai-research

AWS Public Sector is hiring a specialist to build the go-to-market plan for custom silicon across UKGI (UK, Germany and International Organisations). You will define the market, shape the proposition, and drive adoption into government workloads at a time when sovereign AI infrastructure and national-scale compute programmes are creating unprecedented demand for custom silicon (Trainium, Inferentia, Graviton, Nitro) and GPU.

Near-term, you will support our account teams to win GPU and Graviton deals. Longer-term, you will develop the strategy for positioning AWS-designed chips into infrastructure programmes where public sector organisations want to own on-premises compute as a national asset. This is a new role with no established playbook - you will build it from scratch.

You will work directly with Annapurna Labs (the team behind AWS custom silicon), UK government programme leads, and account teams across Defence, Intelligence, Central Government, and Research to connect real customer demand to the next generation of AWS chips.

The ideal candidate is excited about the incredible opportunity silicon innovation presents in the industry today and is deeply passionate about working with great teams that deliver the highest quality services. You are naturally customer obsessed and thrive in a fast-paced environment that requires strong technical and business judgment and solid communication skills.

Key job responsibilities
- Build and own the Advanced Compute pipeline for UKGI: identify, qualify, and progress opportunities for Graviton, Trainium, Inferentia, and GPU across UK public sector accounts.

- Develop the go-to-market strategy for AWS silicon in sovereign and on-premises contexts.

- Support account teams on active GPU deals - providing technical positioning, commercial structuring, and deep market expertise.

- Build the demand signal from UK government: aggregate requirements and translate customer intent into product roadmap input.

- Develop customer-facing propositions around confidential computing on Graviton, on-premises silicon deployment, and sovereign AI compute.

- Work with Public Policy to position AWS silicon within broader government policy and frameworks such as the UK AI Hardware Plan.

- Bridge hardware and software, translate silicon performance capabilities into customer-facing value propositions and product requirements that span the full solution stack

- Build relationships with senior technical and commercial decision-makers at C-suite level.

A day in the life
You split your time between progressing active GPU opportunities with account teams and building the longer-term Chips go-to-market plan. A typical week might include briefing an account team on Graviton positioning for a department migration, joining an internal call with silicon teams to relay UK government compute requirements, drafting a customer proposal for confidential compute on Trainium, and meeting a programme director at a government department to discuss AI research infrastructure options. You report directly to the Head of Customer Acceleration and work closely with Solutions Architects, Specialist Sellers, and the Public Policy team.

About the team
The AI, Emerging Tech & Customer Acceleration team is the specialist engine supporting UKGI account teams. Our job is to find new markets, bring deep technical and commercial skills into the biggest deals, and accelerate the time between opportunity and outcome for UK public sector customers.

Basic qualifications

- Experience working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT.
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience developing and executing on GTM strategies that are large in scope
- Experience engaging and influencing senior executives
- Experience working within UK Defence, Intelligence, Research or Critical National Infrastructure organisations

Preferred qualifications

- Experience leading engineering discussions around technology decisions and strategy related to a product
- Knowledge of AWS silicon (Graviton, Trainium, Inferentia) or competing custom compute platforms
- Experience working with semiconductor or hardware product teams to translate field demand into product requirements
- A UK national and able to obtain and maintain a UK Government Security Clearance

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Research

Questions you could be asked

Tell me about a research question you investigated. What did you find?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI Research. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

Want your resume actually rewritten for this job?

The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.