AI Strategist, Generative AI Innovation Center

Amazon is hiring an AI Strategist, Generative AI Innovation Center in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include AWS, computer vision and NLP.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead generative AI and machine learning strategy and customer adoption programs as part of AWS Generative AI Innovation Center.

AWS

computer-visionnlpgenerative-aimachine-learningstrategycloud-computing

Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on supporting customers looking to enhance their business or operational outcomes through the use of advanced and emerging technologies.
You will partner with customers, AWS Sales, AWS service teams, AWS industry teams and AWS Professional Services delivery teams to craft industry-specific programs that will serve the needs of the customer, and extend that use to other customers within the industry and related industries. You will leverage and refine a programmatic approach to help customers drive their business metrics across a set of industry-specific needs. As a trusted customer advocate, the Generative AI Strategist will assess and deliver best practices around program delivery, project approaches, and business measurement. The ability to connect business value to a scalable, repeatable, extensible approach is critical to the Strategist role.

Key job responsibilities
• Bring alignment between customer’s technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way
• Discuss complex industry-specific business concepts with executives, line managers and technologists
• Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organizations
• Drive large, complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery
• Ensure customer success in ideating and deploying proof of concept projects on the AWS platform, and enable them to move forward in learning from the PoC project to deliver production solutions
• Educate customers on the value proposition of AWS and participate in deep business discussions to ensure solutions are designed to capture business value and drive the intended success metrics
• Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of generative AI or machine learning
• Capture and operationalize best-practice knowledge for enterprises that wish to drive generative AI or machine learning more holistically within their operation (e.g., deploying a customer center of excellence)
• Author or otherwise contribute to AWS customer-facing publications such as whitepapers
• Build deep relationships with senior individuals within customers to enable them to be advocates of the industry and advanced technology solutions
• Effectively evangelize and enable various AWS teams to work collaboratively with the Generative AI Innovation Center, including solutions architects, business development, marketing, industry specialists, delivery teams, partners and regional organizations

• Act as a business liaison between customers, services, technologists and support
• Make meaningful contributions to deep business discussions

About the team
Generative AI Innovation Center

What is it?

A program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to:

Imagine new applications of generative AI to address your needs.
Identify new use cases based on business value.
Integrate Generative AI into your existing applications and workflows.

Who is this for?

Organizations looking for guidance selecting and experimenting with generative AI use cases.
Organizations looking for guidance planning, executing, and securely scaling generative AI use cases.

Why work with the Generative AI Innovation Center?

Identify achievable use cases for generative AI based on your business priorities.
Receive expert guidance to prioritize use cases, estimate business value, assess feasibility and blockers, and define a clear path to success while employing best practices.
Hands-on help developing solutions mapped to requirements, scaling into production, and collaborating closely with stakeholders to share knowledge.

https://aws.amazon.com/generative-ai/innovation-center/

Basic qualifications

- Bachelor's degree, or experience in a professional field or military
- Experience as technical specialist in design and architecture
- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
- Experience in consulting, design and implementation of serverless distributed solutions
- Experience in cloud based solution (AWS or equivalent), system, network and operating system
- Experience in external or internal customer facing, complex and large scale project management
- Bachelor's degree, or experience in professional or military settings
- Bachelor's degree, or experience as technical specialist in design and architecture
- Experience in Database like NoSQL, or experience in Hive/Spark/Hbase/Yarn and experience in any Bigdata architecture
- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field, or experience in consulting, design and implementation of serverless distributed solutions
- Experience with one or more object-oriented programming languages (e.g., Java, C/C++, Python)
- Experience integrating AWS cloud services with on-premise technologies (e.g., Microsoft, IBM, Oracle, HP, SAP)
- Experience in automation or monitoring frameworks, deployment or development
- Experience with continuous integration and continuous delivery
- Experience implementing a cloud-based technology solution, or experience with one or more of the following domains: systems administration (Linux/Window), network administration (DNS, IPsec, BGP, VPN, Load Balancing), or programming (Node.JS, Java, Ruby, C#, Python, or PHP)
- degree in advanced technology, or experience in external or internal customer facing, complex and large scale project management

Preferred qualifications

- Can communicate effectively with all levels of the organization
- Strong organizational skills with an ability to manage numerous demands from internal / external stakeholders and Customers.
- Ability to collaborate with global/enterprise account sales and delivery teams to drive adoption of AI/ML Solutions into top accounts.
- Experience and passion for designing and developing innovative AI/ML solutions that leverage natural language processing, computer vision, statistical learning theory.
- Ability to communicate complex topics to an audience with various functional knowledge, i.e. presentation skills with a high degree of comfort with both large and small audiences.
- Ability to think strategically about business, product, and technical problems and develop strategic, baseline, data modeling processes; ability to accurately identify cause-and-effect relationships.

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

AI Strategist, Generative AI Innovation Center 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.

Classification

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.

Key facts

AI Strategist, Generative AI Innovation Center is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in GB, London.
The job was posted on April 17, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionNLPGenerative AIMachine learningStrategyCloud ComputingAWS

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where strategy was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Computer vision, NLP, Generative AI, Machine learning, and 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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