About this role
Salary: £63,000 - 103,000 per year
Requirements: Bachelors degree, or equivalent experience in a professional or military settingExperience as a technical specialist in design and architectureExperience with databases such as SQL, NoSQL, Hadoop, Spark, Kafka, or KinesisExperience in consulting, design, and implementation of serverless distributed solutionsExperience with cloud-based solutions, systems, networks, and operating systems on AWS or equivalent platformsExperience in external or internal customer-facing, complex, large-scale project managementBachelors degree in business administration, finance, economics, computer science, data science, engineering, or a related field, or equivalent experienceExperience with object-oriented programming languages such as Java, C/C++, or PythonExperience integrating AWS cloud services with on-premise technologies such as Microsoft, IBM, Oracle, HP, or SAPExperience with automation or monitoring frameworks, deployment, or developmentExperience with continuous integration and continuous deliveryExperience implementing cloud-based technology solutions or experience in systems administration, network administration, or programmingStrong organizational skills and the ability to manage numerous internal and external stakeholder demandsAbility to collaborate with global or enterprise account sales and delivery teams to drive AI/ML adoptionExperience and passion for designing and developing innovative AI/ML solutions using natural language processing, computer vision, or statistical learning theoryAbility to communicate complex topics effectively to audiences with varying functional knowledgeAbility to think strategically about business, product, and technical problems and develop data modeling processes Responsibilities: Bring alignment between customer technologists and business leads and help them explore generative AI and machine learning opportunitiesDevelop roadmaps that deliver business value in the most effective wayDiscuss complex industry-specific business concepts with executives, line managers, and technologistsEngage with AWS teams including applied scientists, solutions architects, business development, marketing, industry specialists, partners, and regional organizationsDrive large, complex sales opportunities from ideation through vision building, scoping, closure, and deliveryEnsure customer success in ideating and deploying proof-of-concept projects on the AWS platform and help move them toward production solutionsEducate customers on the value proposition of AWS and participate in business discussions to ensure solutions capture business value and success metricsConduct workshops to identify opportunities for delivering business value through generative AI or machine learningCapture and operationalize best-practice knowledge for enterprises adopting generative AI or machine learning more holisticallyAuthor or contribute to customer-facing publications such as whitepapersBuild deep relationships with senior customer stakeholders to enable advocacy for industry and advanced technology solutionsEvangelize and enable AWS teams to collaborate with the Generative AI Innovation CenterAct as a business liaison between customers, services, technologists, and supportMake meaningful contributions to deep business discussions Technologies: AIAWSCloudComputer VisionHadoopIBMSupportJavaKafkaMachine LearningMarketingNetworkNoSQLOraclePythonSAPSQLSecurityServerlessSparkBig DataC#HiveLinuxLoad BalancingNodeJSPHPRubyVPNWebYarn 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 40 week of 2026