Senior Level AI Engineering Manager Jobs
Senior level ai engineering manager jobs put experienced leaders in charge of AI strategy, model deployment roadmaps, and the cross-functional teams that deliver production systems at scale. Roles are concentrated across Technology & Software, Consulting & Professional Services, and Accounting & Auditing, with a mix of on-site, hybrid, and remote settings, and employers like NVIDIA, EY, and ZS hiring at this level now.
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Showing 5 of 40+ Senior Level AI Engineering Manager jobs
Job Title: AI Engineer
Location: Boston, MA/Princeton NJ
Experience Required:
8+ Years
- Generative AI Engineering
- Cloud AI / Agentic AI development
- Python
- AI/ML solution design
- Full delivery lifecycle
- Agile delivery
- Data engineering
- Performance and security standards
- Model integration
- Production deployment
- AI security and observability
BASIC QUALIFICATIONS
- Core experience: Cloud AI / Agentic AI development; Python; AI/ML solution design; full delivery lifecycle; agile delivery; data engineering, performance and security standards.
- Strong problem-solving, documentation and stakeholder communication skills.
- Experience delivering enterprise technology solutions in regulated environments is preferred.
- Financial services experience is preferred, with direct domain experience required where specified in the role skills.
Job Title: AI Engineer
Location: Boston, MA/Princeton NJ
Experience Required:
8+ Years
- Generative AI Engineering
- Cloud AI / Agentic AI development
- Python
- AI/ML solution design
- Full delivery lifecycle
- Agile delivery
- Data engineering
- Performance and security standards
- Model integration
- Production deployment
- AI security and observability
BASIC QUALIFICATIONS
- Core experience: Cloud AI / Agentic AI development; Python; AI/ML solution design; full delivery lifecycle; agile delivery; data engineering, performance and security standards.
- Strong problem-solving, documentation and stakeholder communication skills.
- Experience delivering enterprise technology solutions in regulated environments is preferred.
- Financial services experience is preferred, with direct domain experience required where specified in the role skills.
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Find JobsSenior Level AI Engineering Manager Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software16
- Consulting & Professional Services6
- Accounting & Auditing4
- Insurance3
- Banking & Financial Services3
Senior Level AI Engineering Manager Jobs: Frequently Asked Questions
How do I get a senior level ai engineering manager job?
Employers at this level look for candidates who have shipped production AI systems, led engineering teams through ambiguous technical problems, and influenced architecture decisions beyond their immediate team. A strong portfolio of end-to-end ML projects, evidence of cross-functional leadership, and experience mentoring earlier-career engineers all give candidates a meaningful edge over those with only individual-contributor depth.
Which companies hire senior level ai engineering managers?
Companies hiring senior level ai engineering managers right now include NVIDIA, EY, and ZS, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large technology firms, enterprise software companies, and well-funded AI-native startups that need experienced leaders to scale engineering organizations around machine learning infrastructure.
Are there remote senior level ai engineering manager jobs?
Yes, though availability varies by employer and team structure. About 33% of senior level ai engineering manager openings are remote or hybrid as of November 2026, reflecting strong demand from companies willing to hire distributed leadership talent. On-site roles tend to cluster at companies building proprietary hardware or operating in regulated industries where in-person collaboration is required.
What makes an ai engineering manager role senior level?
Senior level roles are defined by scope and ownership, not just experience. Candidates are expected to set technical direction for AI systems, own outcomes across multiple teams or product lines, make build-versus-buy decisions, and develop the engineers around them. The difference from a mid-level role is that senior managers shape strategy rather than execute it, and are accountable for organizational results.
Which industries hire the most senior level ai engineering managers?
Senior Level ai engineering manager roles concentrate in Technology & Software, Consulting & Professional Services, and Accounting & Auditing, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are actively scaling AI capabilities into core products, risk systems, or operational workflows and need experienced leaders to build and govern the engineering teams behind that work.