GenAI Technical Developer, DCSS EMEA - GPO
Job ID: 3120474 | Amazon Data Services Ireland Limited
The Data Center Supply Supply Solutions Business Operations team seeks a Technical Program Manager, Tooling & AI Solutions to drive our project management capabilities. This role will drive the adoption, integration, and optimization of tools, including developing AI‑powered solutions to increase team productivity and scale org‑wide.
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain, and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key Job Responsibilities
* Design and implement AI solutions to enhance productivity, automate workflows, and derive insights from data across multiple platforms within AWS Infrastructure.
* Drive cross‑functional alignment with partner teams and global counterparts.
* Serve as the Voice of the Customer and lead the strategic direction for GenAI tooling across Data Center Supply Solutions, ensuring seamless integration and adoption.
* Own the end‑to‑end lifecycle of AI solutions, from concept to deployment, including prompt engineering, model fine‑tuning, and data quality standards.
* Establish and maintain data quality standards and governance frameworks to support AI implementation.
* Drive product development including research, requirements definition, technical specifications, and launch efforts while balancing speed‑to‑market with quality.
* Evaluate the business landscape and analyze existing tools to identify opportunities for innovation and inform product strategy.
* Create and maintain product roadmaps for both traditional tools and AI solutions, ensuring clear communication across all teams.
* Occasional domestic travel required for internal workshops and meetings.
About the Team
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance: We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, AWS Infrastructure Services (AIS) keeps the cloud running.
Basic Qualifications
* Bachelor’s degree in sciences, engineering, finance or equivalent.
* Experience in technical product or program management.
* Knowledge of project management tools and software.
* Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience building complex software systems that have been successfully delivered to customers.
Preferred Qualifications
* Master’s degree or above in engineering, commerce, business administration or equivalent.
* Experience directly working with engineering teams.
* Experience programming with at least one software programming language, or experience with the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
* Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2.
* Knowledge of operating systems, hardware, storage, network, security, database administration and cloud infrastructure.
* Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI).
* Experience in software development, or experience with automation and any version control tools, and experience managing full application stacks from the OS up through custom applications.
* Experience managing and delivering large‑scale enterprise IT projects.
Equal Opportunity Statement
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 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.
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