Senior Forward Deployed Engineer, AWS Forward Deployed Engineering

Amazon Inc.; São Paulo; Hybrid; BRL 910,000 - 1,163,000; Full time

Job summary

Amazon is seeking a Forward Deployed Engineer to embed with a strategic enterprise customer, designing and delivering AI-powered production systems end-to-end. You will own architecture, write production-grade software, and drive measurable business outcomes across the engagement.

You will mentor junior engineers, contribute to hiring, and scale reusable platforms while traveling 30–50% to support multi-workstream programs across customer environments.

Qualifications

• Experience mentoring, tech lead, or leading an engineering team.
• Experience communicating technical concepts to technical and non-technical audiences, incl. senior stakeholders.
• Experience leading agentic and spec-driven development at production scale (AI agents a plus).
• Experience with AI tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering.

Responsibilities

• Lead technical delivery across customer engagements and own the technical strategy for AI programs.
• Make architecture decisions spanning services and boundaries and align with client technology strategy.
• Architect and build production AI systems at scale, including multi-agent orchestration and enterprise retrieval systems.
• Define operational standards, testing, observability, and incident response to ensure AI health and reliability.
• Scale the team: mentor engineers, contribute to hiring, and drive engineering excellence.

Skills

Mentorship

Technical leadership

Communication

Production-scale AI

Agentic development

Education

Bachelor's degree in computer science or equivalent

Tools

AWS services

React

TypeScript

Python

Go

Job description

A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. FDEs write production-grade software and own outcomes end-to-end, from prototype through enterprise-scale deployment combining the technical rigor of an AWS SDE with the urgency and ownership required to deliver measurable customer business outcomes. They create reusable architectures, patterns, and engineering mechanisms that scale the entire FDE practice.

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Key job responsibilities

Lead technical delivery across customer engagements. Own the technical strategy and execution for complex, multi-workstream customer AI programs. Make architecture decisions that span multiple services and organizational boundaries. Align technical approach with the customer's long\-term technology strategy. Requires 30–50% travel.

Architect and build production AI systems at scale. Design the foundational architectures — multi-agent orchestration, enterprise retrieval systems, decision intelligence platforms — for the most complex customer engagements. Drive clarity where neither the business problem nor technology approach is fully defined. Build production systems that handle enterprise-scale traffic and reliability requirements.

Own production excellence across workstreams. Define operational standards, evaluation frameworks, and production readiness criteria for AI systems across your engagement scope. Establish mechanisms (testing strategies, observability standards, incident response playbooks) that ensure AI systems remain healthy. Drive operational improvements that raise the bar for the team.

Scale the team's effectiveness. Define engineering patterns, contribute to the interview and hiring process, and mentor L4 and L5 FDEs into independent contributors. Coach others on system design, customer engagement, and production operations. Drive engineering excellence standards within your scope.

Accelerate customer transformation. Identify systemic opportunities to expand AI adoption across the customer organization. Create accelerators and reusable platforms that reduce time-to-value from months to weeks. Feed learnings back into AWS services and the FDE practice.

About the team

ABOUT AWS

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

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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.

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Basic Qualifications

• Experience as a mentor, tech lead or leading an engineering team
• Experience communicating technical concepts to both technical and non-technical audiences, including senior stakeholders
• Experience leading agentic and spec-driven development at production scale (developing AI agents a plus)
• Experience with AI tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering

Preferred Qualifications

• Experience with AWS services
• Bachelor's degree in computer science or equivalent
• Experience building or deploying AI/ML applications at enterprise production scale
• Background as a founder, engineering lead, or startup builder with high ownership and urgency
• Experience architecting and delivering complex, multi-component systems in customer production environments
• Experience with React, TypeScript, Python, and/or Go
• Experience leading customer-facing technical projects or managing external stakeholder relationships
• Experience working in an Agile, startup, or rapidly scaling environment

Location: ES, Community of Madrid, Madrid

Location: US, Massachusetts, North Reading

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.