Software Development Engineer - AgentCore, AWS Agentic AI

AI in this role

bedrock

ai-agents

Amazon Bedrock AgentCore is building the foundational services developers use to create, deploy, and operate production-ready AI agents at scale. AgentCore Harness, launched at AWS Summit New York in June 2026, provides a managed agent loop that enables customers to define an agent through configuration rather than build and operate orchestration infrastructure themselves.

Customers specify their model, instructions, tools, skills, memory, and execution limits. AgentCore Harness manages the agent loop, secure execution environment, session isolation, identity, networking, observability, and deployment lifecycle. This allows developers to move quickly from an idea to a production agent while retaining the flexibility to integrate custom tools, models, and environments.

As a Software Development Engineer, you will design, implement, test, deploy, and operate core components across the Harness control plane and data plane. You will solve challenging distributed systems problems involving agent execution, session state, tool orchestration, security, scalability, reliability, and low-latency streaming. You will own features throughout their lifecycle, contribute to technical designs, and deliver high-quality solutions for customers.

Harness sits at the intersection of AgentCore Runtime, Memory, Gateway, Identity, Observability, Browser, Code Interpreter, and Evaluations. You will collaborate with engineers across these services to integrate capabilities, improve cross-service APIs, and reduce friction throughout the agent development lifecycle.

A central part of this role is making sophisticated agent capabilities dramatically easier to use. You will work backward from customer needs to turn complex infrastructure and orchestration tasks into intuitive configuration, sensible defaults, reusable templates, and guided workflows. Your work will help customers move from an idea to a secure, observable, production-ready agent in minutes while preserving the flexibility advanced builders need for customization.

You will help develop capabilities that make agent development faster and more accessible. This may include simplifying how customers connect tools and memory, building richer agent templates and skills, automating permissions and resource wiring, shortening the build-test-deploy loop, and creating safer ways to evaluate and release changes.

This is an opportunity to join a newly launched service at an early stage, contribute to its architecture and customer experience, and deliver capabilities with broad industry impact. Machine learning experience is helpful but not required. We are looking for strong engineers with distributed systems experience, sound technical judgment, a commitment to operational excellence, and the ability to deliver in a fast-moving environment.

Key job responsibilities
- Design, build, test, deploy, and operate highly available control plane APIs, data plane services, and managed agent loops for production AI agents.
- Build secure, isolated execution capabilities spanning tool orchestration, memory, context management, streaming, identity, networking, observability, and failure handling.
- Develop integrations between Amazon Bedrock and third-party models, AgentCore services, MCP servers, AWS Step Functions, Strands Agents, and customer-defined environments.
- Implement versioning, endpoints, progressive deployment, rollback, evaluation, and optimization capabilities that help customers safely improve agent behavior.
- Analyze and improve latency, scalability, availability, resource efficiency, and cost controls across multi-tenant workloads.
- Simplify the developer journey across APIs, SDKs, CLI, console, infrastructure as code, and local workflows by building cohesive abstractions, templates, defaults, and automation.
- Work directly with customers and partner teams to identify and reduce friction, accelerate time to production, and balance approachable experiences with the flexibility advanced builders need.
- Contribute to architectural decisions within Harness and collaborate with teams across AgentCore. Help raise the engineering bar through design reviews, operational readiness, code reviews, knowledge sharing, and mentoring.

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
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 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.

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, NY, New York - 158,100.00 - 213,800.00 USD annually

How we rate this

Software Development Engineer - AgentCore, AWS Agentic AI at Amazon rates 85 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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsBedrock

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used Bedrock in your day-to-day work.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: AI Agents and Bedrock. 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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