A

Amazon

Sells products online and rents cloud computing

Senior Forward Deployed Engineer

AI Application EngineeringUpdated on Nov 12
Full-timeIn-person

About the Job

Requirements

  • At least 5 years of non-internship professional software development experience.
  • At least 5 years of programming experience with at least one software programming language.
  • At least 5 years of experience leading the design or architecture of new and existing systems, including design patterns, reliability, and scaling.
  • Experience as a mentor, technical lead, or engineering team lead.
  • Experience communicating technical concepts to non-technical audiences.
  • Experience leading agentic and spec-driven development at production scale; experience developing AI agents is a plus.
  • Experience with AI tools, including evaluation frameworks, agent tooling, retrieval-augmented generation (RAG) pipelines, and prompt engineering.

Responsibilities

  • Embed within customer engineering teams to understand business processes, technical architecture, and operational constraints, then translate ambiguous business problems into scalable AI-enabled production systems.
  • Design and develop production-grade software for AI and agentic workflows, including orchestration layers for multi-agent systems, retrieval pipelines, workflow automation, and decision intelligence.
  • Integrate foundation models, customer data sources, application programming interfaces (APIs), and existing applications into cohesive AI experiences, optimizing for latency, reliability, observability, cost, and security.
  • Take systems from design through production rollout and operationalization.
  • Troubleshoot production incidents across AI models, distributed systems, data pipelines, and application services.
  • Implement monitoring, evaluations, guardrails, testing, continuous integration and continuous delivery (CI/CD), rollback, and resiliency mechanisms to maintain AI systems at scale.
  • Identify opportunities to expand AI adoption across customer workflows.
  • Codify reusable patterns, accelerators, and reference architectures for future customers and feed learnings back into AWS.
  • Mentor engineers and contribute to AWS engineering best practices for AI and forward deployment.
  • Develop reusable components and share learnings with AWS products and services.

Desired Qualifications

  • Bachelor's degree in computer science or equivalent.
  • Experience working with AWS services.
  • Experience with Python, Ruby, Node.js, C#, or C++.
  • At least 3 years of experience with agile software development methodology.
  • 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 leading customer-facing technical projects or managing external stakeholder relationships.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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