Remote AI Engineering Lead Jobs

Remote AI Engineering Lead jobs are open across the U.S. in sectors like enterprise software, fintech, and AI-native product companies, from hands-on lead roles at remote-first startups to director-adjacent positions on distributed ML teams. Employers hiring remotely right now include University of San Diego, Enlyte, and Xen.ai. See the openings below and apply to the ones that match your experience.

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Overview

Open roles28
Top employerUniversity of San Diego
Top industryEducation
Top credentialBachelor's degree
Companies hiring27

Showing 5 of 28+ Remote AI Engineering Lead jobs

Artificial Intelligence Engineer
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Added 3d ago
Artificial Intelligence Engineer
Raven3 Real Estate
Remote
AI (Artificial Intelligence)
Data Science
$120k - $150k/yr
Remote (US)

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Technical Lead — Artificial Intelligence & Analytics (AIA) - ERP
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Added 6d ago
Technical Lead — Artificial Intelligence & Analytics (AIA) - ERP
BST Global
Tampa, Florida
AI (Artificial Intelligence)
Business Strategy
Consulting & Professional Services
Remote (US)
Bachelor's degree in statistics
51-200

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Business Risk & Controls Advisor - Artificial Intelligence (Remote, NC)
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Added 6d ago
Business Risk & Controls Advisor - Artificial Intelligence (Remote, NC)
First Citizens Bank
Raleigh, North Carolina
Administrative & Office Support
Business Operations
Project Management
Remote (US)
High school diploma or GED
10,000+

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Artificial Intelligence and Machine Learning Engineer
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Added 1w ago
Artificial Intelligence and Machine Learning Engineer
Riva Solutions Inc
Remote
AI (Artificial Intelligence)
Data Science
Software Engineering
$180k - $190k/yr
Remote (US)
Bachelor's degree in engineering
51-200

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Senior Azure Artificial Intelligence Security Architect - Remote
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Added 2w ago
Senior Azure Artificial Intelligence Security Architect - Remote
Molina Healthcare
Long Beach, California
Compliance & Risk
Cybersecurity
Solutions Engineering & Architecture
$112k - $218k/yr
Remote (US)
10,000+

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Remote AI Engineering Lead Job Market

Who's Hiring

University of San Diego2 open roles
Enlyte1 open role
Xen.ai1 open role

Top Industries Hiring

  • Education
  • Insurance
  • Automotive
  • Technology & Software

What Employers Look For

The qualifications that appear most often in remote AI engineering lead jobs.

  • 5 or more years of machine learning or AI engineering experience, including production deployments
  • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
  • Experience designing and operating ML pipelines and model serving infrastructure at scale
  • Demonstrated leadership of cross-functional technical teams or engineering workstreams
  • Familiarity with cloud platforms and MLOps tooling including experiment tracking and model registries
  • Bachelor's or master's degree in computer science, machine learning, or a related engineering field

Tips for Your Remote AI Engineering Lead Job Search

Apply early to remote roles that fit

Migrate Mate lists remote ai engineering lead openings from across the U.S. in one place, so you can find roles that match your stack and seniority and apply directly without sorting through unrelated postings.

Show async leadership in your portfolio

Remote hiring managers want proof you can lead without a whiteboard. Document architecture decisions in public write-ups, record walkthroughs of model design choices, and link to async design reviews you've run on GitHub or Notion.

Signal remote-readiness in every written screen

Remote ai engineering lead interviews start with written screens, not calls. Write take-home prompts the way you'd write an internal RFC: structured, opinionated, and self-contained. Hiring teams use this to judge how you'll communicate across time zones.

Target companies with distributed AI teams

Remote-first firms with engineering distributed across multiple time zones build processes that make remote ai engineering leads successful. Look for companies whose job postings describe async standups, written sprint planning, or engineering blogs showing distributed collaboration.

Remote AI Engineering Lead Jobs: Frequently Asked Questions

How do I get a remote ai engineering lead job?

Remote ai engineering lead roles go to candidates who can demonstrate autonomous technical leadership without in-person oversight. Hiring teams screen hard for written communication, async decision-making, and the ability to unblock distributed engineers without real-time check-ins. Strong GitHub activity, public model work, and documented system design decisions give you a concrete edge over candidates whose work only exists inside company intranets.

Which companies hire remote ai engineering leads?

Employers currently hiring remote ai engineering leads include University of San Diego, Enlyte, and Xen.ai, per current remote listings on Migrate Mate as of November 2026. Remote-first software companies, AI infrastructure firms, and distributed fintech teams account for the largest share of these openings.

Can you get a remote ai engineering lead job with no experience?

Yes, but remote ai engineering lead roles are harder to land without experience because you're expected to operate independently from day one with minimal hand-holding. Remote-first startups building new AI products are more open to early-career leads than established enterprises. Showing open-source contributions, a deployed AI project, or documented leadership on a team project can substitute for formal experience when interviewing remotely.

Do you need a degree for remote ai engineering lead jobs?

Not always. Remote employers hiring ai engineering leads weigh demonstrated technical output, production ML experience, and evidence of leading engineers over formal credentials. A strong portfolio of shipped AI systems, measurable team impact, and fluency with modern frameworks carries more weight in remote hiring pipelines than the name on a diploma.

Which industries hire the most remote ai engineering leads?

Most remote ai engineering lead openings sit in Education, Insurance, and Automotive, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams where ai engineering leads coordinate across time zones without a central office.

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