Forward Deployed AI/ML Engineer IV

Quick Facts:

• Role: Forward Deployed AI/ML Engineer IV
• Employment: Full-time, permanent (W2)

Description

As a Forward Deployed Engineer for AI/ML, you embed with utility clients to understand their hardest operational problems and build GenAI/ML systems that solve them in the client environment. You deliver production code, own the end-to-end architecture across retrieval, orchestration, model selection, serving, evaluation, and monitoring, and iterate from early prototypes to production hardening. Solutions are grounded, evaluated, monitored, and trusted by the operators who depend on them.

Responsibilities

• Embed with utility clients to design, build, and deploy generative AI (GenAI) and machine learning (ML) systems that solve operational problems
• Own technical architecture for retrieval, orchestration, model selection, serving, evaluation, and monitoring; align with client architects and security teams
• Run technical discovery independently and redirect when a requested solution is not appropriate
• Deliver working systems early, then iterate toward production hardening with ownership and documentation
• Design task-specific evaluations; define correctness with subject matter experts and release only against those evaluations
• Build retrieval and grounding systems over structured, unstructured, and graph-backed sources
• Integrate with client data platforms and business systems, including undocumented and legacy systems
• Instrument systems to measure accuracy, latency, cost, and drift; enable client teams to run operations
• Build operator-facing application layers (review/approval interfaces, agent/chat front ends, evaluation dashboards, workflow tools)
• Set realistic expectations with executives about AI capabilities and limitations
• Manage scope/timeline against the statement of work and raise risk early
• Contribute reusable accelerators, evaluation harnesses, and reference architectures; share feedback with engineering and product
• Apply AI safety, data privacy, and governance controls appropriate to utility regulatory contexts

Requirements

• Bachelor’s degree in computer science, engineering, statistics, or related quantitative field
• 5+ years of engineering experience shipping GenAI/ML systems to production and iterating based on real usage
• Expert proficiency in Python
• Working proficiency in at least one of TypeScript, Scala, or Java
• Hands-on production experience with at least one major model provider or open-weights stack
• Hands-on experience with one vector or hybrid retrieval system
• Experience building and applying evaluation frameworks for LLM/ML systems (RAG, agentic/multi-agent systems, structured extraction, text-to-SQL)
• Experience with LLMOps (model serving, latency and cost management, prompt and model versioning, monitoring, regression detection)
• Working knowledge of AWS, Azure, or Google Cloud Platform (AWS and Databricks preferred)
• Proficiency with Git, Docker, and CI/CD tools
• Experience using AI coding assistants and agentic development tools to rapidly prototype, test, and iterate
• Experience shipping on compressed timelines from first conversation to a working system in weeks
• Willing and able to work on a W2 basis

Benefits

• Competitive salary and comprehensive benefits package
• Medical (choice of plans), dental, vision, pre-tax accounts
• Voluntary benefits including life and disability insurance
• 401(k) with match
• Sick time if required by law