AI Strategist, Generative AI Innovation Center
Summary
The AI Strategist at AWS works within the Generative AI Innovation Center to help customers identify, design, and implement generative AI and machine learning solutions. The role involves bridging the gap between business goals and technical execution, requiring expertise in cloud architecture, AI/ML, and stakeholder management.
Salary: £63,000 - 103,000 per year
Requirements:- Bachelors degree, or equivalent experience in a professional or military setting
- Experience as a technical specialist in design and architecture
- Experience with databases such as SQL, NoSQL, Hadoop, Spark, Kafka, or Kinesis
- Experience in consulting, design, and implementation of serverless distributed solutions
- Experience with cloud-based solutions, systems, networks, and operating systems on AWS or equivalent platforms
- Experience in external or internal customer-facing, complex, large-scale project management
- Bachelors degree in business administration, finance, economics, computer science, data science, engineering, or a related field, or equivalent experience
- Experience with object-oriented programming languages such as Java, C/C++, or Python
- Experience integrating AWS cloud services with on-premise technologies such as Microsoft, IBM, Oracle, HP, or SAP
- Experience with automation or monitoring frameworks, deployment, or development
- Experience with continuous integration and continuous delivery
- Experience implementing cloud-based technology solutions or experience in systems administration, network administration, or programming
- Strong organizational skills and the ability to manage numerous internal and external stakeholder demands
- Ability to collaborate with global or enterprise account sales and delivery teams to drive AI/ML adoption
- Experience and passion for designing and developing innovative AI/ML solutions using natural language processing, computer vision, or statistical learning theory
- Ability to communicate complex topics effectively to audiences with varying functional knowledge
- Ability to think strategically about business, product, and technical problems and develop data modeling processes
- Bring alignment between customer technologists and business leads and help them explore generative AI and machine learning opportunities
- Develop roadmaps that deliver business value in the most effective way
- Discuss complex industry-specific business concepts with executives, line managers, and technologists
- Engage with 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, scoping, closure, and delivery
- Ensure customer success in ideating and deploying proof-of-concept projects on the AWS platform and help move them toward production solutions
- Educate customers on the value proposition of AWS and participate in business discussions to ensure solutions capture business value and success metrics
- Conduct workshops to identify opportunities for delivering business value through generative AI or machine learning
- Capture and operationalize best-practice knowledge for enterprises adopting generative AI or machine learning more holistically
- Author or contribute to customer-facing publications such as whitepapers
- Build deep relationships with senior customer stakeholders to enable advocacy for industry and advanced technology solutions
- Evangelize and enable AWS teams to collaborate with the Generative AI Innovation Center
- Act as a business liaison between customers, services, technologists, and support
- Make meaningful contributions to deep business discussions
- AI
- AWS
- Cloud
- Computer Vision
- Hadoop
- IBM
- Support
- Java
- Kafka
- Machine Learning
- Marketing
- Network
- NoSQL
- Oracle
- Python
- SAP
- SQL
- Security
- Serverless
- Spark
- Big Data
- C#
- Hive
- Linux
- Load Balancing
- NodeJS
- PHP
- Ruby
- VPN
- Web
- Yarn
More:
We are AWS and our Generative AI Innovation Center pairs customers with our science and strategy experts to imagine new generative AI applications, identify high-value use cases, and integrate generative AI into existing applications and workflows. We help organizations plan, execute, and securely scale generative AI use cases, with hands-on support to prioritize opportunities, estimate business value, assess feasibility and blockers, define a clear path to success, and scale solutions into production. We are an equal opportunities employer committed to a diverse and inclusive culture, and we value privacy, security, and empowering our teams to deliver the best results for our customers.
last updated 34 week of 2026