Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
A
Amazon
Principal Forward Deployed Engineer, Forward Deployed Engineerin
Career Insights for Vice President of Engineering
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Virginia data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Vice President of Engineering is responsible for providing leadership in planning, establishing and directing all aspects of the company's engineering policies, objectives and initiatives based on product and profitability goals. Responsible for supplying and maintaining adequate resources for Engineering functions in the pursuit of the company's strategic goals and operational plans.
$221,770 / year median in Virginia
+11% projected growth
Job Description
Job Requirements Arlington, VA Top Secret/SCI Polygraph Career Level not specified $200,100
- $270,600 Job Description Description Application deadline: Sep 5, 2026 A Principal Forward Deployed Engineer (Principal FDE) embeds across multiple strategic enterprise customers to define the technical strategy and engineering standards for AI-powered production systems at scale.
- combining the technical depth of an AWS Principal SDE with the strategic influence required to deliver transformational customer business outcomes.
- Set the technical direction for the most complex, highest-stakes customer AI programs. Be a key influencer for strategic decisions, bringing technology and industry context to business decisions. Make architecture decisions that span multiple workstreams, services, and organizational boundaries. Requires up to 25% travel. Build production AI systems and reference architectures.
- Design and build the foundational architectures
- multi-agent orchestration frameworks, enterprise-grade retrieval systems, decision intelligence platforms
- that become the template for future engagements. Tackle intrinsically hard problems, acquiring expertise as needed. Solve problems that are significantly complex not only because of technical complexity. Remain hands-on, focusing time on code and code reviews that have the most impact. Own production excellence at scale.
- Define the operational standards, evaluation frameworks, and production readiness criteria for AI systems across the FDE practice. Establish mechanisms that ensure AI systems remain healthy across all active engagements. Accelerate customer transformation at the portfolio level.
- Identify systemic opportunities to expand AI adoption across multiple customer organizations. Create accelerators, reference architectures, and reusable platforms that reduce time-to-value. Influence AWS product roadmaps based on patterns observed across customers. Raise the bar for the practice.
- Define engineering excellence standards for the FDE organization.
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.
- Current, active
TS/SCI US
Government Security Clearance- 10+ years of non-internship professional software development experience
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- 8+ years of experience leading the design and architecture of large-scale production systems in customer-facing or enterprise environments
- Experience building production AI or ML platforms used across multiple products or customers
- Experience with enterprise-scale agentic workflows, multi-agent orchestration, or AI system governance Preferred Qualifications
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience in executive level engagement with SVP/VP/C-Suite
- Master's degree or above in computer science or equivalent
- Experience creating reusable architectures or platforms adopted across an organization
- Experience defining technical strategy and engineering standards as a principal engineer or tech lead influencing multi-team decisions
- Experience influencing product roadmaps through engineering insights Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- 200,100.00
- 270,600.00 USD annually USA, NY, New York
- 220,100.00
- 297,700.00 USD annually USA, VA, Arlington
- 200,100.00
- 270,600.00 USD annually USA, WA, Seattle
- 200,100.00
- 270,600.