Chief AI Officer Jobs
Chief AI Officer jobs are open across technology, financial services, healthcare, and enterprise software, from director-level to C-suite, with specializations in AI strategy, model governance, and responsible AI. Scan the live roles below and apply to whichever ones fit.
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Posting Details
The successful candidate will teach graduate-level courses in Artificial Intelligence and Machine Learning, with a particular emphasis on applications in Biomedical Sciences, Environmental Science, and Environmental Public Health, as well as undergraduate courses as needed.
We seek an enthusiastic, innovative, and student-centered educator who is passionate about advancing AI education, mentoring students, and applying emerging technologies to real-world scientific and public health challenges.
The selected candidate will have the opportunity to contribute to the University’s new interdisciplinary Master’s program in Artificial Intelligence and Machine Learning for Biomedical and Environmental Health Systems (AIM-BEHS), helping prepare the next generation of professionals to use AI-driven approaches to address critical challenges in healthcare, biomedical research, environmental sustainability, and public health.
- A Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computational Science, Biomedical Sciences, Environmental Science, Environmental Health, Environmental Public Health, Engineering, or a closely related field by the start date of appointment.
- Demonstrated expertise or a strong academic or research background in AI, Machine Learning, Data Science, or computational methods, with the ability to apply these technologies to biomedical, environmental, or public health challenges.
- Demonstrated ability or strong potential to teach graduate-level courses in Artificial Intelligence, Machine Learning, and related disciplines, including interdisciplinary applications.
- Evidence of scholarly achievement, research experience, or strong potential to develop research projects and engage graduate and undergraduate students in research and applied learning.
- Ability and willingness to collaborate with faculty and researchers from diverse scientific and technical disciplines.
- Strong communication, organizational, and interpersonal skills, with a commitment to effective teaching, student mentorship, and academic excellence.
- Commitment to supporting student success, interdisciplinary education, scholarly activities, and university service.
- Teaching, research, postdoctoral, or relevant industry experience in Artificial Intelligence, Machine Learning, or Data Science.
- Experience with AI/ML tools and programming environments such as Python, R, TensorFlow, PyTorch, or related technologies.
- Experience applying AI/ML techniques to biomedical research, Bioinformatics, healthcare, environmental monitoring, environmental health, or public health data.
- Experience developing interdisciplinary research projects, mentoring students, or collaborating on externally funded research.
- Familiarity with emerging AI technologies, including deep learning, generative AI, and advanced data analytics.
- Interest in contributing to the development and growth of a new interdisciplinary graduate program.
- Curriculum vitae.
- One combined document that includes:
- Cover letter describing teaching and research interests.
- Statement of teaching philosophy.
- Statement of research interests, including plans for student involvement.
- All graduate transcripts (unofficial transcripts are acceptable for initial review).
- Names and contact information for three professional references.
- Three professional reference letters.
Equal Opportunity Statement
Supplemental Questions
Required fields are indicated with an asterisk (*).
Documents Needed To Apply
- Resume
- Cover Letter
- Transcripts
- Letter of Recommendation
- Curriculum Vitae
- Portfolio
Posting Details
The successful candidate will teach graduate-level courses in Artificial Intelligence and Machine Learning, with a particular emphasis on applications in Biomedical Sciences, Environmental Science, and Environmental Public Health, as well as undergraduate courses as needed.
We seek an enthusiastic, innovative, and student-centered educator who is passionate about advancing AI education, mentoring students, and applying emerging technologies to real-world scientific and public health challenges.
The selected candidate will have the opportunity to contribute to the University’s new interdisciplinary Master’s program in Artificial Intelligence and Machine Learning for Biomedical and Environmental Health Systems (AIM-BEHS), helping prepare the next generation of professionals to use AI-driven approaches to address critical challenges in healthcare, biomedical research, environmental sustainability, and public health.
- A Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computational Science, Biomedical Sciences, Environmental Science, Environmental Health, Environmental Public Health, Engineering, or a closely related field by the start date of appointment.
- Demonstrated expertise or a strong academic or research background in AI, Machine Learning, Data Science, or computational methods, with the ability to apply these technologies to biomedical, environmental, or public health challenges.
- Demonstrated ability or strong potential to teach graduate-level courses in Artificial Intelligence, Machine Learning, and related disciplines, including interdisciplinary applications.
- Evidence of scholarly achievement, research experience, or strong potential to develop research projects and engage graduate and undergraduate students in research and applied learning.
- Ability and willingness to collaborate with faculty and researchers from diverse scientific and technical disciplines.
- Strong communication, organizational, and interpersonal skills, with a commitment to effective teaching, student mentorship, and academic excellence.
- Commitment to supporting student success, interdisciplinary education, scholarly activities, and university service.
- Teaching, research, postdoctoral, or relevant industry experience in Artificial Intelligence, Machine Learning, or Data Science.
- Experience with AI/ML tools and programming environments such as Python, R, TensorFlow, PyTorch, or related technologies.
- Experience applying AI/ML techniques to biomedical research, Bioinformatics, healthcare, environmental monitoring, environmental health, or public health data.
- Experience developing interdisciplinary research projects, mentoring students, or collaborating on externally funded research.
- Familiarity with emerging AI technologies, including deep learning, generative AI, and advanced data analytics.
- Interest in contributing to the development and growth of a new interdisciplinary graduate program.
- Curriculum vitae.
- One combined document that includes:
- Cover letter describing teaching and research interests.
- Statement of teaching philosophy.
- Statement of research interests, including plans for student involvement.
- All graduate transcripts (unofficial transcripts are acceptable for initial review).
- Names and contact information for three professional references.
- Three professional reference letters.
Equal Opportunity Statement
Supplemental Questions
Required fields are indicated with an asterisk (*).
Documents Needed To Apply
- Resume
- Cover Letter
- Transcripts
- Letter of Recommendation
- Curriculum Vitae
- Portfolio
See All 310+ Chief AI Officer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Chief AI Officer JobsChief AI Officer Job Market
Who's Hiring
- Booz Allen Hamilton12
- JPMorganChase10
- Johns Hopkins University Applied Physics Laboratory9
- University of San Diego6
- Northwest Bank5
Top Industries Hiring
- Banking & Financial Services
- Education
- Technology & Software
- Healthcare & Medical Services
- Investment & Asset Management
What Employers Look For
The qualifications that appear most often in chief AI officer jobs.
- 10 or more years of experience leading AI or machine learning initiatives at scale
- Proven ability to define and execute enterprise-wide AI strategy aligned to business goals
- Deep knowledge of large language models, generative AI platforms, and MLOps infrastructure
- Experience building and managing cross-functional AI teams including engineers, data scientists, and product managers
- Familiarity with AI governance frameworks, model risk management, and responsible AI principles
- Advanced degree in computer science, data science, engineering, or a related technical field
Tips for Your Chief AI Officer Job Search
Quantify AI outcomes on your resume
Chief AI Officer roles attract candidates who can show measurable business impact from AI initiatives. Replace vague responsibilities with outcomes: cost reductions, revenue lift, or deployment timelines shortened. Hiring committees scrutinize executive resumes for numbers more than credentials.
Apply early to roles that fit
Migrate Mate lists chief ai officer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target companies by AI maturity stage
A company building its first AI function needs a different profile than one scaling a mature platform. Tailor your application materials to match: early-stage roles want builders, while scaling roles want operators who govern and optimize existing systems.
Prepare a governance-forward portfolio
Boards and CEOs increasingly ask about AI risk, bias mitigation, and regulatory readiness before strategy. Bring documented examples of AI governance frameworks, model risk policies, or cross-functional ethics processes you've owned, not just shipped models.
Anticipate the board-level interview stage
Many chief ai officer searches include a board or audit committee conversation focused on risk and ROI, not technical depth. Practice explaining your AI strategy in plain language, connecting every initiative to margin, liability reduction, or competitive differentiation.
Negotiate scope before negotiating comp
Before discussing compensation, clarify reporting structure, budget authority, and whether the role owns a team or sits as an individual advisor. Chief AI Officer titles vary dramatically in authority, and scope affects both your leverage and your long-term career trajectory.
Chief AI Officer Jobs: Frequently Asked Questions
Which companies are hiring the most chief ai officers?
The companies hiring the most chief ai officers right now include Booz Allen Hamilton, JPMorganChase, and Johns Hopkins University Applied Physics Laboratory, with the largest share of openings in California, Virginia, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in enterprise technology, financial services, and large healthcare systems investing in AI transformation programs.
How many chief ai officer jobs are remote?
About 59% of chief ai officer openings are fully remote or hybrid as of November 2026, reflecting the executive nature of the role and the need for board and C-suite access. AI governance, strategy, and policy functions tend to be more remote-compatible than roles requiring hands-on oversight of on-premises infrastructure or regulated data environments.
How do you become a chief ai officer?
Most chief ai officers build a foundation in machine learning, data engineering, or AI research before moving into leadership roles such as VP of AI or head of data science. From there, gaining cross-functional ownership, board exposure, and responsibility for AI governance accelerates the path. Publishing thought leadership and demonstrating measurable business outcomes from AI programs strengthens candidacy for the top role.
Can you get a chief ai officer job with little experience?
A direct move into the chief AI officer title without senior leadership experience is rare, but adjacent paths exist. Candidates who've led AI product teams, owned enterprise ML platforms, or served as the de facto AI lead at a smaller organization often qualify for the role at mid-sized companies or startups where the function is being built from scratch.
What does the chief ai officer interview process look like?
Chief AI Officer interviews typically run across multiple rounds, starting with a recruiter screen and a conversation with the CEO or CTO about strategic vision. Middle rounds focus on technical depth, organizational design, and cross-functional leadership scenarios. Final stages often include a presentation to the executive team or board covering your proposed AI roadmap, governance approach, and expected business outcomes.
Where can I find and apply to chief ai officer jobs?
You can find and apply to chief ai officer jobs on Migrate Mate, which lists current openings from across the United States. Search the roles available, find the ones that match your background and goals, and apply directly to each listing that fits.
See All 310+ Chief AI Officer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Chief AI Officer Jobs