Senior Level Chief AI Officer Jobs
Senior level chief ai officer jobs place experienced leaders in charge of enterprise AI strategy, cross-functional roadmaps, and the technical teams that turn organizational priorities into deployed systems. Hiring is concentrated in Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, with a strong mix of on-site, hybrid, and remote opportunities, and employers like Minio, JPMorganChase, and Credit One Bank hiring at this level now.
Find JobsOverview
Showing 5 of 8+ Senior Level Chief AI Officer 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.
See All 8 Senior Level Chief AI Officer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsSenior Level Chief AI Officer Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Healthcare & Medical Services
- Fintech
- Insurance
Senior Level Chief AI Officer Jobs: Frequently Asked Questions
How do I get a senior level chief ai officer job?
Employers at this level look for executives who have owned AI strategy end-to-end, not just contributed to it. A strong candidate brings a portfolio of shipped AI initiatives with measurable business outcomes, experience leading multidisciplinary teams, and the ability to communicate trade-offs to boards and C-suites. Prior success scaling AI governance, managing vendor relationships, and aligning technical roadmaps to revenue goals gives candidates a clear edge.
Which companies hire senior level chief ai officers?
Companies hiring senior level chief ai officers right now include Minio, JPMorganChase, and Credit One Bank, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in large enterprises and high-growth technology companies that are building or scaling dedicated AI functions and need experienced leaders to own the direction.
Are there remote senior level chief ai officer jobs?
Yes, though many senior roles carry expectations around executive presence and board-level visibility. About 29% of senior level chief ai officer openings are remote or hybrid as of November 2026, reflecting strong demand for experienced leaders who can operate across distributed organizations. Fully remote arrangements are more common at companies with established remote-first cultures.
What makes a chief ai officer role senior level?
Senior level chief ai officer roles are defined by enterprise-wide ownership rather than project-level execution. These positions carry accountability for AI strategy, budget, risk, and governance across the organization. They typically involve building and leading teams, setting the technical and ethical standards others follow, and reporting directly to the CEO or board. Mentoring junior leaders and translating AI capabilities into business outcomes are core expectations.
Which industries hire the most senior level chief ai officers?
Senior level chief ai officer roles concentrate in Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors tend to drive hiring at this level because they are investing heavily in AI-powered products, automated operations, and data-driven decision-making at scale, creating sustained demand for executives who can lead that transformation.