Enterprise AI Deployment Architect

FullStack

Raleigh (NC)

Remote

USD 150,000 - 190,000

Full time

1 hour ago
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Benefits offered by this job

Remote work
Health, dental, and vision insurance
401(k) with match
Paid time off
Career advancement opportunities

Job summary

FullStack is seeking Forward Deployed Engineers who embed with enterprise teams to architect and ship AI-powered solutions; you’ll wear consultant, operator, and engineer hats and handle data, retrieval, and model behavior to ensure production-ready outcomes.

You’ll lead discovery, design end-to-end architectures, own CI/CD for AI, and collaborate with Fortune 500 clients; this is a remote role offering growth and exposure to top startups and large-scale projects.

Qualifications

  • 8–10+ years across ML, data, and software engineering.
  • Hands-on production experience delivering AI systems.
  • Strong problem solving and cross-functional collaboration.

Responsibilities

  • Discover and workshop with stakeholders to map current state and AI opportunities.
  • Structure processes and specs for automated business workflows.
  • Architect end-to-end agent systems focusing on context and retrieval architecture.
  • Build working AI solutions and reusable components.
  • Own CI/CD for AI systems and evaluation in the pipeline.
  • Operate post-launch governance including monitoring and cost management.
  • Consult with executives and engineers to defend design choices.

Skills

ML/data engineering
Python
Production-grade systems
Data architecture

Tools

LLMOps/MLOps
CI/CD for AI
Vector retrieval
APIs and event streams

Job description

FullStack is seeking Forward Deployed Engineers who embed with enterprise teams to architect and ship AI-powered solutions; you’ll wear consultant, operator, and engineer hats and handle data, retrieval, and model behavior to ensure production-ready outcomes.

You’ll lead discovery, design end-to-end architectures, own CI/CD for AI, and collaborate with Fortune 500 clients; this is a remote role offering growth and exposure to top startups and large-scale projects.

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