Senior Forward-Deployed AI Engineer (Remote)

FullStack

Billings (MT)

Remote

USD 160,000 - 230,000

Full time

2 hours ago
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Benefits offered by this job

Remote work
Competitive salary
Health insurance
401(k) match
Paid time off

Job summary

FullStack is seeking Forward Deployed Engineers who embed with enterprise teams to architect AI-enabled solutions. You will run discovery, design agentic systems, and deliver end-to-end implementations inside production environments.

You will balance consulting with engineering, driving data-driven decisions, and ensuring robust retrieval, governance, and scalability. This is a fully remote opportunity within the United States, with opportunities to work with Fortune 500 clients.

Qualifications

  • 8-10+ years across ML, data, and software engineering.
  • Python-first, production-grade (typed, tested, deployed services).
  • Track record as ML/Data Architect, Principal Engineer, or Tech Lead.
  • Designed CI/CD for AI/ML systems (LLMOps / MLOps).
  • Fluent with retrieval and model behavior; strong written and verbal communication.

Responsibilities

  • Discover and run workshops with business, data, and engineering stakeholders.
  • Structure processes and convert them into specs for both people and AI systems.
  • Architect end-to-end agentic systems with emphasis on context and retrieval architecture.
  • Build working AI-enabled systems and CI/CD pipelines for production.
  • Operate Day 2: monitoring, observability, cost, and governance of AI flows.
  • Consult with CTOs and VPs of Engineering, defending decisions and shaping proposals.

Skills

ML/AI experience
Python-first
Data architecture
Consulting mindset

Tools

Snowflake
Databricks
BigQuery

Job description

FullStack is seeking Forward Deployed Engineers who embed with enterprise teams to architect AI-enabled solutions. You will run discovery, design agentic systems, and deliver end-to-end implementations inside production environments.

You will balance consulting with engineering, driving data-driven decisions, and ensuring robust retrieval, governance, and scalability. This is a fully remote opportunity within the United States, with opportunities to work with Fortune 500 clients.

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