Senior Level Head of Artificial Intelligence Jobs
Senior level head of artificial intelligence jobs place experienced leaders in charge of AI strategy, model deployment decisions, and the cross-functional teams that bring those systems to production. Roles are concentrated across Accounting & Auditing, Technology & Software, and Investment & Asset Management, with a strong mix of on-site, remote, and hybrid settings, and employers like Baker Tilly Canada, Janus Henderson Investors, and Mars hiring at this level now.
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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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Who's Hiring



Top Industries Hiring
- Accounting & Auditing
- Technology & Software
- Investment & Asset Management
- Banking & Financial Services
- Healthcare & Medical Services
Senior Level Head of Artificial Intelligence Jobs: Frequently Asked Questions
How do I get a senior level head of artificial intelligence job?
Employers at this level want candidates who have already led AI initiatives end-to-end, not just contributed to them. Demonstrating that you have set technical direction, aligned machine learning roadmaps with business goals, and grown junior talent gives you a clear edge. A portfolio of shipped models, measurable business impact, and experience influencing executive stakeholders will distinguish you from candidates with similar technical credentials.
Which companies hire senior level head of artificial intelligences?
Companies hiring senior level head of artificial intelligences right now include Baker Tilly Canada, Janus Henderson Investors, and Mars, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of organizations, including large technology companies, enterprise software vendors, financial institutions, and well-funded startups scaling their AI capabilities.
Are there remote senior level head of artificial intelligence jobs?
Yes, though availability varies by employer and the scope of team oversight required. About 31% of senior level head of artificial intelligence openings are remote or hybrid as of November 2026, reflecting strong demand for experienced AI leaders who can manage distributed teams. Roles involving hands-on lab work or sensitive infrastructure are more likely to require on-site presence.
What makes a head of artificial intelligence role senior level?
Senior level head of artificial intelligence roles are defined by ownership of the full AI function rather than execution within it. This means setting the technical vision, choosing the frameworks and architectures the organization commits to, managing or mentoring other engineers and data scientists, and translating AI capabilities into measurable business outcomes. The scope extends beyond individual models to organizational strategy and cross-functional influence.
Which industries hire the most senior level head of artificial intelligences?
Senior level head of artificial intelligence roles concentrate in Accounting & Auditing, Technology & Software, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring because they are actively embedding AI into core products, operations, and decision-making processes, creating sustained demand for leaders who can build and scale those capabilities from the ground up.