Forward Deployment Engineer (FDE) - Python, AWS, AI (LLM ,Agentic)

Momento USA LLC
New York, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 215K

Job location

New York, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Encodings
Continuous Integration
Python
Performance Tuning
Rapid Prototyping Process
Software Deployment
Software Engineering
Unstructured Data
Workflow Management Systems
Data Logging
Large Language Models
Automation Anywhere
Serverless Computing
Microservices

Job description

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 with customer teams, and delivering measurable outcomes using AWS, Python, and Claude (and related AI/agent stacks)., 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., Lead Software Engineer, Full Stack (Python/AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, colla…

  • 18 days ago

Requirements

  1. 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 considerations for AI solutions Prior client-facing delivery experience in consulting, field engineering, or forward-deployed roles. Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status., Lead Software Engineer, Full Stack (Python/AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, colla…
  • 25 days ago

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