Forward Deployment Engineer
Posted 2 weeks ago by HAN IT Staffing Inc.
Negotiable
Undetermined
Remote
Remote
Summary: The Forward Deployment Engineer (FDE) role involves collaborating with customer teams to design, build, and deploy AI-driven solutions that enhance workflows. This hybrid position requires a blend of product management and hands-on engineering skills, particularly in AWS and Python. The ideal candidate will navigate ambiguity and deliver measurable outcomes through effective communication and technical expertise. Key responsibilities include product discovery, client-embedded execution, hands-on engineering, and enabling customer adoption of solutions.
Key Responsibilities:
- Partner with customer stakeholders to understand workflows, pain points, and desired outcomes.
- Translate business objectives into delivery plans, including requirements and roadmaps.
- Define success metrics and drive alignment through demos and updates.
- Embed with client teams to build prototypes, deploy, and iterate based on feedback.
- Own outcomes from discovery to production release and continuous improvement.
- Troubleshoot issues and ensure solutions are reliable and maintainable.
- Build production-grade services and APIs using Python.
- Design and deploy cloud-native components on AWS.
- Apply strong engineering practices including testing and security-by-design.
- Build applications leveraging Claude to solve business problems.
- Develop reusable technical artifacts that support AI workflows.
- Enable customer teams to use and extend solutions independently.
- Drive adoption by aligning stakeholders and supporting change management.
Key Skills:
- Strong software engineering fundamentals with hands-on Python experience.
- Experience building and deploying solutions on AWS.
- Experience with LLM-powered applications and workflows, including Claude.
- Ability to translate ambiguous business problems into working solutions.
- Excellent communication skills for facilitating workshops.
- Experience with agentic workflow design (preferred).
- Familiarity with data pipelines and monitoring/governance (preferred).
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Description:
Role Overview
We are looking for Forward Deployment Engineers (FDEs) to work directly with customer business and technology teams to design, build, and deploy AI-driven solutions that transform real-world workflows.
This is a hybrid role requiring both product thinking (problem discovery, requirements, success metrics) and hands-on engineering (rapid prototyping through to production deployment). The ideal candidate is comfortable operating under ambiguity, embedding customer teams, and delivering measurable outcomes using AWS, Python, and Claude (and related AI/agent stacks).
Key Responsibilities
1) Product Discovery & Solution Shaping (PM capability)
Partner with customer stakeholders to understand current workflows, pain points, constraints, and desired outcomes.
Translate business objectives into a clear delivery plan: requirements, user stories, acceptance criteria, and roadmap from prototype to scaled deployment.
Define success metrics (e.g., cycle-time reduction, automation rate, accuracy, adoption) and drive alignment through regular demos and updates.
2) Forward-Deployed Execution (Client-embedded delivery)
Embed with client teams to whiteboard solutions, build prototypes quickly, deploy, and iterate based on feedback.
Own outcomes end-to-end from discovery to production release, stabilization, and continuous improvement.
Troubleshoot issues in real environments and ensure solutions are reliable, maintainable, and aligned to business needs. 3) Hands-on Engineering (AWS + Python)
Build production-grade services, APIs, and workflow integrations using Python (and associated libraries/frameworks).
Design and deploy cloud-native components on AWS (serverless and/or container-based architectures as appropriate).
Apply strong engineering practices: testing, CI/CD, logging/monitoring, performance tuning, and security-by-design.
4) AI / Agentic Solutions using Claude (and related stacks)
Build production applications leveraging Claude to solve real business problems in customer environments.
Develop and deliver reusable technical artefacts that support AI workflows (e.g., agents/sub-agents, skills, integration components) used in production.
Identify repeatable deployment patterns and share learnings with internal teams to improve future delivery and scalability.
5) Enablement & Adoption ( Teach the business to fish )
Enable customer teams to use and extend solutions independently through training, playbooks, documentation, and operational runbooks.
Drive adoption by aligning stakeholders, supporting change management, and ensuring solutions fit real operating models.
Required Skills & Qualifications (Must Have)
Strong software engineering fundamentals with hands-on Python experience (APIs, microservices, automation).
Strong hands-on experience building and deploying solutions on AWS.
Experience building LLM-powered applications and workflows, including practical experience with Claude (prompting, tool-use patterns, integration into business processes).
Proven ability to translate ambiguous business problems into working solutions, and deliver iteratively with stakeholders.
Excellent communication skills; comfortable facilitating workshops with both technical and non-technical stakeholders.
Preferred Skills (Good to Have)
Experience with agentic workflow design (tool calling, orchestration patterns, guardrails, evaluation approaches).
Familiarity with structured and unstructured data pipelines and practical understanding of monitoring/governance c