Senior Forward Deployed Engineer

Amazon Web Services (AWS)

Herndon (VA)

Presencial

USD 168.000 - 227.000

Jornada completa

hace 14 horas

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Descripción de la vacante

Amazon Web Services (AWS) seeks a Forward Deployed Engineer to embed with enterprise customers, designing, building, deploying, and running AI-powered production systems alongside their engineering teams.

You will own outcomes end-to-end—from prototype through enterprise deployment—creating reusable architectures and patterns that scale the FDE practice. Travel 30–50% is required to deliver across engagements.

Formación

5+ years of non-internship professional software development experience.
5+ years of programming with at least one software language.
5+ years of leading design or architecture of systems.
Experience as a mentor, tech lead or engineering team lead.
Experience communicating technical concepts to senior stakeholders.
Experience leading AI agent development at production scale.

Responsabilidades

Lead technical delivery across customer engagements and define cross-team strategy.
Architect and build production AI systems at enterprise scale.
Define production readiness criteria and observability standards.
Scale the team’s effectiveness through mentoring and coaching.
Identify opportunities to expand AI adoption and build accelerators.

Conocimientos

AI tooling experience

Software development

Mentorship/leadership

Communication with stakeholders

Agent design

Educación

Bachelor's degree in computer science or equivalent

Herramientas

AWS services

Python/Go/React/TypeScript

Descripción del empleo

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.

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 junior 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

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
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

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 AWS services
Experience with React, TypeScript, Python, and/or Go
Experience leading customer-facing technical projects or managing external stakeholder relationships
3+ years of experience working in an Agile, startup, or rapidly scaling environment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.