Embedded AI Engineer & Production Architect

FullStack

Oklahoma City (OK)

Remote

USD 150,000 - 190,000

Full time

9 hours ago
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Benefits offered by this job

100% remote work
Health, dental, and vision insurance
401(k) with 4% match
Career advancement opportunities

Job summary

FullStack seeks senior AI/ML engineers to design and deliver production-ready AI systems for enterprise clients. You’ll embed with client teams, architect agentic solutions, and own end-to-end delivery from discovery through production and Day 2 operations.

This role demands deep ML/data/engineering expertise, strong competency in CI/CD for AI/ML, and the ability to articulate trade-offs to CTOs and VPs. You’ll work with regulated industries and Fortune 500 clients, shaping practical AI programs

Qualifications

  • 8-10+ years across ML, data, and software engineering.
  • Strong production-grade Python and TS/Node/Java skills.
  • Proven track as ML/Data Architect or Tech Lead.
  • Experience designing CI/CD for AI/ML (MLOps).

Responsibilities

  • Discover and workshop with stakeholders to map outcomes and data readiness.
  • Structure processes and turn them into specifications for AI systems.
  • Architect end-to-end agentic systems with retrieval, embeddings, and orchestration.
  • Build working AI solutions: agents, services, and evaluation tooling.
  • Own CI/CD for AI/ML deployments and operationalization post-launch.
  • Operate Day 2: monitoring, observability, drift, and cost controls.
  • Consult with CTOs/VPs to defend decisions and articulate ROI.

Skills

ML Architect
Python
MLOps
Leadership
TypeScript/Node

Job description

FullStack seeks senior AI/ML engineers to design and deliver production-ready AI systems for enterprise clients. You’ll embed with client teams, architect agentic solutions, and own end-to-end delivery from discovery through production and Day 2 operations.

This role demands deep ML/data/engineering expertise, strong competency in CI/CD for AI/ML, and the ability to articulate trade-offs to CTOs and VPs. You’ll work with regulated industries and Fortune 500 clients, shaping practical AI programs

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