Senior Software Engineer, AWS Agentic AI

Amazon is hiring a Senior Software Engineer, AWS Agentic AI in Bellevue, United States. It pays $168k-$227k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
Pay on this posting starts in line with the typical software engineer posting on Level.
The posting mentions LangChain, LangGraph and Bedrock among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Senior Software Engineer building core infrastructure and runtime services for Agentic AI and Bedrock AgentCore at AWS.

LangChainLangGraphBedrockLambda

distributed-systemscloud-computingsoftware-engineeringmachine-learning-infrastructure

In this role, you will build new or enhance existing Bedrock AgentCore services that are going to be trend setting in the Agentic AI field. This is an area that requires solving the hardest engineering challenges to enable machine learning powered solutions for our customers. As a tier one Amazon service our solutions have to be scalable, efficient, and fault tolerant. Experience with machine learning systems is preferred, but not required. You will deliver some of our most strategic technical projects, deliver large scalable systems, design new software systems at the cutting edge of distributed database technology and have a significant bottom-line impact on our business and competitive position. In addition to delivering critical software, you will draw from a deep and broad technical expertise to mentor engineers and provide leadership on complex technical issues. This position within the AWS AI team presents a unique and rare opportunity to get in on the ground floor within a fast growing business and help shape the technology, product and the business. A successful candidate will bring deep technical and software expertise, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.

Key job responsibilities
• Design and implement core infrastructure components including control plane APIs, data plane execution environments, and deployment orchestration systems
• Optimize agent invocation latency, cold start performance, and resource utilization across Lambda Sandbox, Snapstart, and custom compute platforms
• Develop monitoring, observability, and operational tooling to ensure production reliability and enable rapid incident response
• Collaborate with AWS Lambda, Bedrock, and open-source framework teams (LangChain, LangGraph, Strands) to integrate and optimize agent runtime capabilities
• Contribute to technical strategy and architecture decisions for session management, identity/permissions, cross-account access, and security integrations
• Mentor junior engineers and drive engineering excellence through code reviews, design reviews, and operational best practices

A day in the life
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

About the team
Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Basic qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Preferred qualifications

- 5+ 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.

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, WA, Bellevue - 168,100.00 - 227,400.00 USD annually

How we rate this

Senior Software Engineer, AWS Agentic AI at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Software Engineer, AWS Agentic AI is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $168k-$227k a year.
The role is based in US, WA, Bellevue.
The job was posted on July 7, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsCloud ComputingSoftware EngineeringMachine Learning InfrastructureLangChainLangGraphBedrockLambda

Also common in software engineer jobs at this level

Python LLM C++AI agents Kubernetes Java

Pay

This job starts at: $168k
Typical software engineer job: $167k

This posting starts close to the typical software engineer job. See software engineer jobs

Questions you could be asked

Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where machine learning infrastructure was part of your work. What did you do?
Walk me through how you've used LangChain in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Distributed Systems, Cloud Computing, Software Engineering, Machine Learning Infrastructure, and LangChain. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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