Forward Deployed Engineer, AWS Forward Deployed Engineering

Amazon Inc.; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

Amazon AWS is seeking a Forward Deployed Engineer II to embed with enterprise customers, designing and deploying AI-powered production systems alongside customer teams. You will own end-to-end AI workstreams, from requirements to deployment, and coach others on delivering high-quality code.

You will design robust solutions, integrate foundation models and data sources, and optimize latency, reliability, and cost while traveling 30–50% to customer sites as needed.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years in an Agile, startup, or rapidly scaling environment.
• Experience with agentic and spec-driven development (developing AI agents a plus) and AI tools.

Responsibilities

• Embed within customer engineering teams to translate requirements into technical designs.
• Build production AI applications powering AI and agentic workflows.
• Own production for your workstream including scoping, design, code, testing, deployment, operations, and maintenance.
• Mentor and uplift teammates through code reviews and training.
• Accelerate customer adoption by codifying reusable patterns and accelerators.

Skills

Software development

Agile experience

Communication skills

AI agentic development

AI tooling and pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Eval frameworks

Agent tooling

RAG pipelines

Prompt engineering

React

TypeScript

Python

Go

Job description

Job ID: 10576495 | AWS EMEA SARL (UK Branch)

A Forward Deployed Engineer II (FDE II) embeds directly inside a strategic enterprise customer to independently design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. FDE IIs write production-grade software and own delivery of complete AI workstreams end-to-end — from requirements gathering through production deployment — combining the technical rigor of an AWS SDE with the urgency and ownership required to deliver measurable customer business outcomes.

FDE IIs are autonomous contributors. They deliver working features spanning the full software lifecycle. They design cohesive implementations for ambiguous problems, making design trade-offs with appropriate guidance. They take on projects where the business problem is understood but implementations are not fully fleshed out, balancing constraints and limiting short-term workarounds. They coach others on producing high-quality code and train new team members.

Key job responsibilities

• Embed within customer engineering teams. Work with customers, stakeholders, and peers to understand the business and customer value of the systems you build. Understand the customer's business processes, technical architecture, and operational constraints. Translate customer requirements into technical designs for AI-enabled production systems within your workstream. Requires 30–50% travel.
• Build production AI applications. Design and develop production-grade software powering AI and agentic workflows — retrieval pipelines, workflow automation, API orchestration layers, data integration. Solve difficult problems with visible risks or roadblocks, bringing clarity and identifying simple designs for solutions. Integrate foundation models, customer data sources, and existing applications into cohesive AI experiences. Optimize for latency, reliability, and cost.
• Own production for your workstream. Be a significant contributor to the full software development lifecycle including scoping, design, code, testing, deployment, operations, and maintenance. Troubleshoot production incidents across AI models, distributed systems, and application services. Ensure root causes of operational issues are identified and resolved. Implement monitoring, evaluations, guardrails, and CI/CD that keep AI systems healthy. Don't settle for the status quo — routinely identify and execute on opportunities to improve operations.
• Mentor and uplift. Actively mentors and trains new team members on how systems are constructed, operated, and fit into the bigger picture. Coach others on producing high-quality code through mechanisms such as code review. Be active in the code review process, providing meaningful feedback to others.
• Accelerate customer adoption. Identify opportunities to expand AI adoption within your customer engagement. Codify reusable patterns and accelerators that benefit future customer deployments and feed back into AWS services. Make enhancements that improve your team's software and processes.

A day in the life

You start your morning reviewing deployment metrics from a recent release, then join a design review where you help shape the architecture for an upcoming feature. After lunch, you pair with a teammate on a tricky integration problem, walking through trade-offs together before settling on a clean approach. Later, you onboard a new team member by guiding them through how your services are constructed and operated. Your work balances building new capabilities with strengthening the foundations that keep your systems running reliably.

Basic Qualifications

• Experience in professional, non-internship software development
• 3+ years of non-internship professional software development experience
• 2+ years of experience working in an Agile, startup, or rapidly scaling environment
• Experience communicating technical concepts to both technical and non-technical audiences
• Degree in Computer Science or related field, or equivalent professional experience
• Experience with agentic and spec-driven development (developing AI agents a plus)
• Experience with AI tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering

Preferred Qualifications

• Experience working in customer production environments
• Experience building or deploying AI/ML applications in production environments
• Background as a founder, engineering lead, or startup builder with high ownership and urgency
• Prior experience with React, TypeScript, Python, and/or Go
• Experience interfacing with customers or leading technical projects with external stakeholders
• Experience working with teams that build and scale end-to-end production systems
• Experience with AWS services

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

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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.