Description
Amazon Web Services (AWS) is looking for a Software Development Engineer to join a team that builds contract intelligence and automation platforms for AWS's global sales operations. The platform processes contracts across multiple AWS business groups, serving as the single source of truth for executed contract data.
You will design and build AI-powered agents using Amazon Bedrock that read contract documents, extract structured data, and automate contract onboarding and post-contract operations. You will also build MCP (Model Context Protocol) servers that expose contract intelligence to AI agents and applications across AWS. Your work will directly reduce tens of thousands of manual processing hours and enable AWS to scale contract operations without scaling headcount. You will contribute to
full-stack application development working with React, TypeScript, Java, AWS CDK, Lambda, DynamoDB, and Step Functions.
This is a small, high-ownership team where your contributions are visible from day one. You will work across the full stack, from building LLM-powered extraction agents to designing React UIs to deploying infrastructure as code. The team turns manual, expert-driven workflows into reliable, scalable automation using generative AI.
A strong candidate enjoys building distributed systems on AWS, has interest or experience in AI/ML and large language models, and thrives in a fast-paced environment where they own problems end-to-end. Experience with agentic AI patterns, prompt engineering, or document extraction is a plus but not required.
Key job responsibilities
In this role, you will:
• Design and build AI-powered agents using Amazon Bedrock that process contract documents, extract structured data, and automate operational workflows
• Build MCP (Model Context Protocol) servers that expose backend intelligence to AI agents and applications
• Design, develop, and deploy full-stack applications using React, TypeScript, Java, AWS CDK, Lambda, DynamoDB, and Step Functions
• Own features end-to-end from technical design through deployment, including writing design documents and leading technical discussions
• Build and improve automation that replaces manual, repetitive operational processes with scalable, AI-driven solutions
• Collaborate with product managers, analysts, and operations teams to translate business requirements into technical solutions
• Participate in code reviews, mentor team members, and contribute to engineering best practices
• Support production systems through on-call rotation and proactive monitoring improvements
A day in the life
Your primary focus is building AI agents that automate contract operations across AWS. You might start the morning reviewing how an agent performed on a batch of contracts, then adjust its extraction logic based on analyst feedback. After standup, you pick up an MCP server endpoint that lets other teams query contract data through their own AI applications. In the afternoon,
you join a design discussion to automate a workflow that currently takes 15 minutes per contract. Some days you're deep in React, other days writing CDK or debugging why an agent misread a PDF. The team is small enough that your ideas ship.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, 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, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
You will design and build AI-powered agents using Amazon Bedrock that read contract documents, extract structured data, and automate contract onboarding and post-contract operations. You will also build MCP (Model Context Protocol) servers that expose contract intelligence to AI agents and applications across AWS. Your work will directly reduce tens of thousands of manual processing hours and enable AWS to scale contract operations without scaling headcount. You will contribute to
full-stack application development working with React, TypeScript, Java, AWS CDK, Lambda, DynamoDB, and Step Functions.
This is a small, high-ownership team where your contributions are visible from day one. You will work across the full stack, from building LLM-powered extraction agents to designing React UIs to deploying infrastructure as code. The team turns manual, expert-driven workflows into reliable, scalable automation using generative AI.
A strong candidate enjoys building distributed systems on AWS, has interest or experience in AI/ML and large language models, and thrives in a fast-paced environment where they own problems end-to-end. Experience with agentic AI patterns, prompt engineering, or document extraction is a plus but not required.
Key job responsibilities
In this role, you will:
• Design and build AI-powered agents using Amazon Bedrock that process contract documents, extract structured data, and automate operational workflows
• Build MCP (Model Context Protocol) servers that expose backend intelligence to AI agents and applications
• Design, develop, and deploy full-stack applications using React, TypeScript, Java, AWS CDK, Lambda, DynamoDB, and Step Functions
• Own features end-to-end from technical design through deployment, including writing design documents and leading technical discussions
• Build and improve automation that replaces manual, repetitive operational processes with scalable, AI-driven solutions
• Collaborate with product managers, analysts, and operations teams to translate business requirements into technical solutions
• Participate in code reviews, mentor team members, and contribute to engineering best practices
• Support production systems through on-call rotation and proactive monitoring improvements
A day in the life
Your primary focus is building AI agents that automate contract operations across AWS. You might start the morning reviewing how an agent performed on a batch of contracts, then adjust its extraction logic based on analyst feedback. After standup, you pick up an MCP server endpoint that lets other teams query contract data through their own AI applications. In the afternoon,
you join a design discussion to automate a workflow that currently takes 15 minutes per contract. Some days you're deep in React, other days writing CDK or debugging why an agent misread a PDF. The team is small enough that your ideas ship.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, 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, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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.
USA, TX, Dallas - 143,700.00 - 194,400.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
- Bachelor's degree in computer science or equivalent
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Dallas - 143,700.00 - 194,400.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
