Lead AI Engineer Jobs

Lead AI Engineer jobs are open across technology, healthcare, financial services, and enterprise software, from senior individual contributor to staff and principal levels, with specializations in large language models, MLOps infrastructure, and applied machine learning. See the openings below and apply to the ones that match your experience.

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Overview

Open roles1,407+
Top stateCalifornia
Top employerJPMorganChase
Top citySan Francisco, CA
Work type50% Hybrid
Top industryTechnology

Showing 5 of 1,407+ Lead AI Engineer jobs

Artificial Intelligence (AI) Engineer
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New 1h ago
Artificial Intelligence (AI) Engineer
police department
New York, New York
Compliance & Risk
Cybersecurity
Security Engineering
$75k - $140k/yr
Bachelor's degree in engineering

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AI Transformational Lead
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New 4h ago
AI Transformational Lead
Granite Construction
Watsonville, California
Software Engineering
Data Science & Analytics
Project & Program Management
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
Data Analytics
Project Management
$106k - $167k/yr
On-Site
Bachelor's
5,001-10,000

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Artificial Intelligence Engineer
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New 4h ago
Artificial Intelligence Engineer
Signature IT World Inc
Massachusetts
Software Engineering
Data Engineering
Cloud & DevOps
On-Site
None

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Lead Architect - Cloud Financial Management, Reporting and AI
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New 5h ago
Lead Architect - Cloud Financial Management, Reporting and AI
JPMorganChase
Jersey City, New Jersey
Corporate Training
Learning & Development
Project Management
$157k - $215k/yr
10,000+

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CIB AI Governance Lead - Vice President
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New 5h ago
CIB AI Governance Lead - Vice President
JPMorganChase
Jersey City, New Jersey
Corporate Training
Learning & Development
Project Management
$133k - $205k/yr
10,000+

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Lead AI Engineer Job Market

Who's Hiring

  • JPMorganChase87
  • CVS Health66
  • Booz Allen Hamilton28
  • Boston Consulting21
  • Google20

Top Industries Hiring

  • Technology & Software58
  • Insurance27
  • Banking & Financial Services18
  • Consulting & Professional Services15
  • Education14

What Employers Look For

The qualifications that appear most often in lead AI engineer jobs.

  • Five or more years of machine learning engineering or applied AI experience
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
  • Experience deploying and monitoring production ML systems at scale
  • Familiarity with MLOps tooling, model versioning, and CI/CD pipelines for models
  • Strong understanding of large language models, fine-tuning, and prompt engineering
  • Bachelor's or master's degree in computer science, machine learning, or a related technical field

Tips for Your Lead AI Engineer Job Search

Quantify your model impact on paper

Your resume should show what your models actually moved, latency reduced, accuracy gained, or cost cut at scale. Lead AI Engineer roles draw dozens of applicants with similar credentials, so concrete outcomes separate you from candidates listing tools alone.

Distinguish research from production experience

Many listings separate research-oriented leads from production ML leads. Read each posting carefully for signals like MLOps, CI/CD for models, or inference optimization, then mirror that language in your resume to match what the team actually ships.

Apply early to roles that fit

Migrate Mate lists lead ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.

Target postings that name your tech stack

Filtering openings by your specific stack, PyTorch versus TensorFlow, Kubernetes versus SageMaker, cuts noise fast. Applying to roles that explicitly name tools you've used in production means your resume reads as a direct answer, not a stretch.

Prepare a system design narrative for interviews

Lead AI Engineer interviews almost always include an end-to-end system design question for a production ML pipeline. Rehearse a real project you've architected, covering data ingestion, training, deployment, and monitoring, so you can walk through tradeoffs under pressure.

Negotiate scope alongside compensation

At the lead level, team size, model ownership, and infrastructure budget often matter as much as base pay. Before accepting, clarify whether you'll own the full ML lifecycle or inherit legacy systems with limited autonomy, since scope shapes career trajectory.

Lead AI Engineer Jobs: Frequently Asked Questions

Which companies are hiring the most lead ai engineers?

The companies hiring the most lead ai engineers right now include JPMorganChase, CVS Health, and Booz Allen Hamilton, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in enterprise software, cloud infrastructure, and healthcare AI platforms.

How many lead ai engineer jobs are remote?

About 73% of lead ai engineer openings are fully remote or hybrid as of November 2026, reflecting the distributed nature of AI platform teams. Roles focused on LLM development, ML platform engineering, and AI research tend to offer the highest remote availability compared to applied AI roles tied to on-site hardware or clinical environments.

How do you become a lead ai engineer?

Start by building deep proficiency in machine learning fundamentals and at least one production-grade framework. Progress from individual contributor ML engineer roles to owning model pipelines end to end. Demonstrate technical leadership by mentoring teammates, driving architecture decisions, and shipping systems that remain reliable in production. A portfolio of shipped projects carries more weight than credentials alone.

Can you get a lead ai engineer job with little experience?

Breaking directly into a lead role with minimal experience is uncommon because the title implies ownership of architecture and cross-functional influence. The practical path is to reach senior ML engineer level first, then seek out opportunities to lead a project or sub-team internally. Open-source contributions to major AI frameworks and published applied research can accelerate that transition meaningfully.

What does the lead ai engineer interview process look like?

Most processes run three to five rounds covering machine learning fundamentals, end-to-end system design for a production ML pipeline, coding in Python, and a behavioral round assessing technical leadership and cross-functional collaboration. Some companies add a take-home project involving model evaluation or architecture critique. Expect interviewers to probe your reasoning on tradeoffs, not just your ability to recall algorithms.

Where can I find and apply to lead ai engineer jobs?

You can find and apply to lead ai engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings, find roles that fit your background and preferred location or remote arrangement, and apply directly to each one that matches your experience.

See All 1,407+ Lead AI Engineer Jobs

Find roles that match your experience and apply in just a few clicks.

Find Lead AI Engineer Jobs