• Translate customer use cases and business objectives into well-scoped AI solutions with measurable success criteria, technical requirements, and an iterative delivery plan.

• Design and implement production AI solutions on AWS, including the application, data, integration, security, and operational components required to run them reliably.

• Develop and test software using one or more programming languages, APIs, data pipelines, infrastructure as code, and continuous delivery practices.

• Select and evaluate appropriate AI approaches, which may include traditional ML, foundation models, retrieval, model adaptation, tool use, or agentic workflows.

• Establish evaluation and responsible AI controls covering solution quality, safety, privacy, security, latency, reliability, and cost.

• Diagnose technical issues across models, applications, data, and infrastructure, and communicate trade-offs clearly to customer stakeholders.

• Work with customer and partner teams to integrate solutions into existing workflows and complete documentation, knowledge transfer, and operational handover.

• Use AI-assisted development practices, and contribute reusable assets and lessons to the Data & AI practice.

A Day in the Life

A typical day may include working with a customer team to turn an agreed use case into a detailed solution design and delivery backlog. You might review evaluation results from an AI application, investigate a quality, security, latency, or cost issue, and implement and test an improvement. Later, you may run a technical workshop to resolve data or integration constraints, pair with a customer engineer on code, or review an architecture decision with security and platform teams. You will regularly communicate progress, risks, and technical trade-offs to business and technical stakeholders. As delivery moves towards production, you will help establish monitoring and operational processes, complete documentation and knowledge transfer, and ensure the customer team can operate and extend the solution after the engagement.

About the Team

Amazon values diverse experiences and encourages candidates to apply even if they do not meet every preferred qualification. AWS teams bring together people with varied backgrounds and perspectives to help customers design, build, operate, and secure cloud environments. Employee-led affinity groups, inclusion events, knowledge sharing, and mentorship support an inclusive culture and continued professional growth. We also value work-life harmony and strive for flexibility as part of our working culture. You will join technical experts across AWS Professional Services who work with customers and AWS Partners to achieve business outcomes using cloud and AI technologies.

Basic Qualifications:

• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
• Experience and technical expertise (design and implementation) in cloud computing technologies
• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage

Preferred Qualifications:

• Bachelor's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or experience in defining and creating benchmarks for assessing GenAI model performance
• Experience developing, deploying and managing AI products at scale
• Experience designing, building and deploying agentic solutions on AWS Agentcore or similar platforms
• Experience with one or more applied AI patterns, such as model evaluation, retrieval, model adaptation, tool use, multimodal applications, or agentic workflows.
• Experience with enterprise data foundations, including data quality, governance, semantic models, or knowledge systems.

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.