We are reimagining how business leaders and sales teams get their business analytics: software that understands the question a person means to ask, answers it from a trusted and governed source, and does so in seconds. This is a generative-AI and agentic-engineering role first, in equal parts front-end and back-end - the web experiences users touch and the services that power them - reaching thousands of users across AWS.
What you will build
You work across the full stack in equal measure: the front-end web app users interact with, and MCP integrated with agentic tools, and the back-end engineering that makes it work. Rather than static dashboards, the product understands who the user is - their role, their territory, their book of business, what they looked at last - and answers in plain language, tailored to how they read the business.
Our product lives inside a larger agentic ecosystem. It is a foundational agentic tool at AWS, and you will build the integrations that let it participate - Model Context Protocol (MCP) tool contracts, agent-to-agent (A2A) integrations, and the connections that let other agents and tools call it and let it reach the systems its users depend on. You will operate Bedrock on top of a large, governed data lake and think past the current product into where this product goes next
You are a technical lead on your team for these experiences. You help set the architecture across both the front-end and back-end, make high-stakes technical decisions, and mentor the engineers around you - reviewing their work, human-authored and agent-authored alike. You stay hands-on in the code and the code reviews that matter most.
We build AI-native. In our model, humans own judgment and agents own the mechanical middle. Engineers write the specification and set the acceptance criteria. Agents (Claude Code, Kiro) write a growing share of the implementation, author tests, and resolve code-review comments. Engineers direct, validate, and own what ships, and still hand-write the novel, ambiguous, and infrastructure-heavy work where models fall short.
Key job responsibilities
- Lead the end-to-end design, implementation, and delivery of software systems spanning multiple features, working across the full software lifecycle from customer requirements through deployment and ongoing maintenance.
- Own your team's architectural direction by defining technical strategy, evaluating tradeoffs in scalability, maintainability, performance, and security, and ensuring the software fits cohesively into the broader system landscape.
- Collaborate with engineers on related teams to resolve cross-team dependencies, create alignment on technical approaches, and drive adoption of engineering best practices that improve code quality and development velocity.
- Mentor and coach multiple engineers by providing guidance on system design, coding practices, and career development, while actively contributing exemplary code that demonstrates best practices in organization, clarity, and error handling.
- Identify opportunities to simplify existing systems, reduce technical debt, and leverage generative artificial intelligence tools where appropriate to augment productivity, while evaluating and refining outputs to ensure quality and responsible use.
A day in the life
You start your morning reviewing design documents and providing feedback to engineers on your team who are building new features. By mid-morning, you are deep in code, working through a complex system integration that requires careful attention to performance and extensibility. After lunch, you join a cross-team architecture review where you advocate for a technical approach that balances short-term delivery needs with long-term maintainability. Later, you pair with a teammate to debug a production issue, walking through runbooks and telemetry data to identify root cause and prevent recurrence.
About the team
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
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, CA, Mountain View - 193,300.00 - 261,500.00 USD annually
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually
USA, TX, Dallas - 168,100.00 - 227,400.00 USD annually
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
