Advanced Compute Specialist (Chips), UKGI Public Sector
Amazon is hiring an Advanced Compute Specialist (Chips), UKGI Public Sector for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include AWS Trainium, AWS Inferentia and AWS Graviton.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Drive go-to-market strategy and adoption of custom silicon, AI accelerators, and cloud infrastructure for the public sector.
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.
How we rate this
Advanced Compute Specialist (Chips), UKGI Public Sector at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where go to market was part of your work. What did you do?
- Tell me about a project where hardware infrastructure was part of your work. What did you do?
- Tell me about a project where product strategy was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Research, Cloud Computing, Go To Market, Hardware Infrastructure, and Product Strategy. 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.
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