Head of AI Engineering Jobs
Head of AI Engineering jobs are open across technology, financial services, healthcare, and enterprise software, from senior engineering lead to VP level, with specializations in LLM infrastructure, MLOps, and applied AI research. Scan the live roles below and apply to whichever ones fit.
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The Opportunity
The University of Virginia invites applications for an eminent scholar and innovative educator in the domain of artificial intelligence in business to serve as the inaugural LaCross Artificial Intelligence in Business University Professor (LaCross Professor), beginning in the fall of 2027. This endowed position seeks an exceptionally distinguished scholar and innovative educator whose expertise lies at the intersection of artificial intelligence (AI) and business, broadly defined, including areas such as machine learning, the economics of AI, leadership and human impact of AI, the future of work, and responsible and ethical AI. A successful candidate will lead efforts to advance the understanding, application, and impact of ethical AI leadership in business and management practices.
The individual, appointed as University Professor, will report to both the University President and the Executive Vice President and Provost, and will serve as an advisor to the Provost in advancing AI research and impact across the institution. The position is at a senior level, and candidates should possess qualifications sufficient to receive tenure as a full professor at the Darden Graduate School of Business, with consideration for courtesy appointments at other schools at the University, as appropriate and subject to consideration by the respective faculties.
The Role and Responsibilities
A successful candidate is expected to conduct cutting-edge interdisciplinary research at the nexus of AI and business, contributing to the advancement of knowledge in the field. The candidate should have experience teaching, or a demonstrated interest in teaching, graduate MBA and PhD students and executive-level courses in areas related to AI and its applications in business, including but not limited to machine learning, data-driven decision-making, AI ethics, and AI-driven innovation. The candidate should also be willing to teach with excellence using Darden’s student-centered Socratic method.
The LaCross Professor will help position UVA as a national leader in AI research and will assist with the AI@UVA efforts across Grounds by promoting AI literacy, fostering ethical AI practices, and driving thought leadership in the field. The candidate will be a visionary leader with the ability to advance AI excellence across research, education, and institutional strategy, helping position the University at the forefront of AI innovation and impact. Responsibilities of this position include developing interdisciplinary collaborations across the University of Virginia and fostering partnerships with other schools, particularly the School of Data Science, the School of Engineering and Applied Science, the McIntire School of Commerce, and the Biocomplexity Institute, as well as with departments, industry leaders, and research centers. The position also requires the ability to mentor students and junior faculty, providing guidance in research, career development, and academic growth.
The LaCross Professor will also serve as one of the Academic Directors of the LaCross Institute for Ethical Artificial Intelligence in Business at the Darden School , established in 2024 to accelerate UVA’s leading role in shaping AI’s impact on society and business, enabled by the largest gift in Darden history from alumnus David LaCross (MBA ’78) and his wife, Kathy. The LaCross Institute builds on Darden’s successful history of advancing research, teaching, and engagement with practice related to artificial intelligence. The successful candidate will work alongside the other faculty fellows, academic directors, and professional staff leaders to advance its mission of making the world a better place through the responsible use of AI in business by developing leaders who can manage AI businesses and solutions, guided by ethics, values, and the advancement of human well-being. As one of the Academic Directors of the LaCross Institute, the LaCross Professor will advance Darden’s and UVA’s leadership in ethical AI in business by advancing and supporting research on AI-related topics, creating new courses and course materials at the cutting edge of pedagogy, and engaging with practice and industry on the leading-edge uses of ethical AI in business. The LaCross Professor will engage with external stakeholders, including businesses, policymakers, and the broader community, to translate academic research into real-world applications and societal impact.
Responsibilities of this role include contributing to the ongoing development and implementation of a forward-thinking vision for AI advancement across the University. This work may include contributing to timely initiatives such as crafting and implementing university-wide AI strategies that align with academic and operational priorities; fostering AI collaboration across academic disciplines; engaging with a broad set of stakeholders, including faculty, students, industry leaders, government agencies, and philanthropic organizations, to build a thriving AI ecosystem; and representing the University in AI-related research, policy, and industry discussions at the national and global levels, consistent with the candidate's qualifications and institutional needs.
This work will serve to complement, and will benefit from, other UVA schools, institutes, and programs, namely:
- The Batten Institute for Entrepreneurship, Innovation and Technology serves as the key catalyst and hub for technology and entrepreneurial activity at UVA’s Darden School of Business, supporting faculty and students through research, experiential learning, co-curricular programs, scholarships, and thought leadership focused on innovation at Darden.
- The School of Data Science is the first of its kind in the nation and is guided by common goals: to further discovery, share knowledge, and make a positive impact on society through collaborative, open, and responsible data science research and education. Founded in fall 2019 through the largest gift in UVA’s history, the School positions the University to play a national and international leadership role in the global digital future.
- The Biocomplexity Institute (BI) focuses on solving complex problems that cannot be addressed within the narrow confines of a single discipline or by a single researcher. The Biocomplexity Institute has developed a unique transdisciplinary team-science approach to tackling such problems and finding AI-enabled solutions for scientific and societal applications in areas such as public health, the labor market, biotechnology, and independent critical infrastructures. BI works to foster global collaborative networks that advance the research agenda and develop innovative experiential learning programs for students. The Institute has made significant advances in high-performance computing (HPC), AI, and machine learning, and created international cyberinfrastructure and HPC ecosystems. Since 2018, the Biocomplexity Institute has brought in more than $100 million in federal funding.
- The Paul and Diane Manning Institute of Biotechnology : Designed to propel UVA to the forefront of cutting-edge medicine, the Paul and Diane Manning Institute of Biotechnology accelerates the development of new treatments and cures and transforms how healthcare is delivered across the Commonwealth and beyond. Within the School of Medicine, significant funds are invested each year to support translational life sciences research.
- National Security Data and Policy Institute : The NSDPI at UVA was established in 2024 to advance research and engagement with the national security and intelligence communities. The Institute's initial activities center on data and intelligence deliverables identified in partnership with the Office of the Director of National Intelligence. Through this work, the Institute is developing into a durable, interdisciplinary center for security research and government engagement.
Ideal Experience and Characteristics
UVA seeks a broad pool of candidates with the ability to help develop and advance a pan-University initiative and with demonstrated commitments to interdisciplinary collaboration, team building, and innovation. The ideal candidate is a scholar whose work and presence attract other faculty to UVA, with a record of building research programs or platforms and a clear vision for AI in business. UVA welcomes candidates from business, computing, the social sciences, and related disciplines, as well as researchers in industry with strong academic credentials.
Candidates must possess the academic credentials necessary to be eligible for a tenured full professor appointment at the Darden School of Business.
Other requirements:
Leadership and Collaboration: Strong leadership skills, with the ability to work collaboratively across disciplines and build meaningful partnerships. Administrative leadership experience, such as leading research groups, centers, or initiatives, is preferred.
- Academic Credentials: A terminal degree (Ph.D., JD, DBA, Ed.D., among others) in a related field, including but not limited to Decision Sciences, Computer Science, Data Science, Leadership, Management Science, Marketing, Operations Research, Statistics, Economics, Information Systems, Psychology, and Philosophy.
- Research Excellence: A distinguished record of research publications in leading journals and conferences in the candidate’s discipline, impactful contributions to the field, and recognition as a thought leader in AI and business, including, where relevant, attention to ethical considerations in AI applications.
- Teaching and Mentorship: Proven excellence in teaching and mentorship, with a commitment to fostering an inclusive, supportive, and student-centered learning environment, as well as experience developing teaching materials and establishing or maintaining interactions with practicing managers and academics.
- Industry and Philanthropic Engagement: Experience applying AI to business challenges and bridging the gap between academia and industry. Excellent communication, presentation, listening, and interpersonal skills; the ability to communicate with and inspire a broad array of stakeholders, including faculty, staff, students, alumni, and external partners; and the ability to engage donors, build rapport, and participate in securing philanthropic support for AI.
To Apply or Nomninate
UVA Executive Search Group (ESG) has been retained to assist in the search for the LaCross Artificial Intelligence in Business University Professorship. Confidential inquiries should be sent via email to Adam Seid, Senior Search Consultant, at seid@virginia.edu . Nominations may be submitted by email or through our online nomination form . To apply, submit a letter of interest and CV via Interfolio. The search will be carried out with full confidentiality.
Applications received by December 31, 2026, will be given priority consideration.
The Opportunity
The University of Virginia invites applications for an eminent scholar and innovative educator in the domain of artificial intelligence in business to serve as the inaugural LaCross Artificial Intelligence in Business University Professor (LaCross Professor), beginning in the fall of 2027. This endowed position seeks an exceptionally distinguished scholar and innovative educator whose expertise lies at the intersection of artificial intelligence (AI) and business, broadly defined, including areas such as machine learning, the economics of AI, leadership and human impact of AI, the future of work, and responsible and ethical AI. A successful candidate will lead efforts to advance the understanding, application, and impact of ethical AI leadership in business and management practices.
The individual, appointed as University Professor, will report to both the University President and the Executive Vice President and Provost, and will serve as an advisor to the Provost in advancing AI research and impact across the institution. The position is at a senior level, and candidates should possess qualifications sufficient to receive tenure as a full professor at the Darden Graduate School of Business, with consideration for courtesy appointments at other schools at the University, as appropriate and subject to consideration by the respective faculties.
The Role and Responsibilities
A successful candidate is expected to conduct cutting-edge interdisciplinary research at the nexus of AI and business, contributing to the advancement of knowledge in the field. The candidate should have experience teaching, or a demonstrated interest in teaching, graduate MBA and PhD students and executive-level courses in areas related to AI and its applications in business, including but not limited to machine learning, data-driven decision-making, AI ethics, and AI-driven innovation. The candidate should also be willing to teach with excellence using Darden’s student-centered Socratic method.
The LaCross Professor will help position UVA as a national leader in AI research and will assist with the AI@UVA efforts across Grounds by promoting AI literacy, fostering ethical AI practices, and driving thought leadership in the field. The candidate will be a visionary leader with the ability to advance AI excellence across research, education, and institutional strategy, helping position the University at the forefront of AI innovation and impact. Responsibilities of this position include developing interdisciplinary collaborations across the University of Virginia and fostering partnerships with other schools, particularly the School of Data Science, the School of Engineering and Applied Science, the McIntire School of Commerce, and the Biocomplexity Institute, as well as with departments, industry leaders, and research centers. The position also requires the ability to mentor students and junior faculty, providing guidance in research, career development, and academic growth.
The LaCross Professor will also serve as one of the Academic Directors of the LaCross Institute for Ethical Artificial Intelligence in Business at the Darden School , established in 2024 to accelerate UVA’s leading role in shaping AI’s impact on society and business, enabled by the largest gift in Darden history from alumnus David LaCross (MBA ’78) and his wife, Kathy. The LaCross Institute builds on Darden’s successful history of advancing research, teaching, and engagement with practice related to artificial intelligence. The successful candidate will work alongside the other faculty fellows, academic directors, and professional staff leaders to advance its mission of making the world a better place through the responsible use of AI in business by developing leaders who can manage AI businesses and solutions, guided by ethics, values, and the advancement of human well-being. As one of the Academic Directors of the LaCross Institute, the LaCross Professor will advance Darden’s and UVA’s leadership in ethical AI in business by advancing and supporting research on AI-related topics, creating new courses and course materials at the cutting edge of pedagogy, and engaging with practice and industry on the leading-edge uses of ethical AI in business. The LaCross Professor will engage with external stakeholders, including businesses, policymakers, and the broader community, to translate academic research into real-world applications and societal impact.
Responsibilities of this role include contributing to the ongoing development and implementation of a forward-thinking vision for AI advancement across the University. This work may include contributing to timely initiatives such as crafting and implementing university-wide AI strategies that align with academic and operational priorities; fostering AI collaboration across academic disciplines; engaging with a broad set of stakeholders, including faculty, students, industry leaders, government agencies, and philanthropic organizations, to build a thriving AI ecosystem; and representing the University in AI-related research, policy, and industry discussions at the national and global levels, consistent with the candidate's qualifications and institutional needs.
This work will serve to complement, and will benefit from, other UVA schools, institutes, and programs, namely:
- The Batten Institute for Entrepreneurship, Innovation and Technology serves as the key catalyst and hub for technology and entrepreneurial activity at UVA’s Darden School of Business, supporting faculty and students through research, experiential learning, co-curricular programs, scholarships, and thought leadership focused on innovation at Darden.
- The School of Data Science is the first of its kind in the nation and is guided by common goals: to further discovery, share knowledge, and make a positive impact on society through collaborative, open, and responsible data science research and education. Founded in fall 2019 through the largest gift in UVA’s history, the School positions the University to play a national and international leadership role in the global digital future.
- The Biocomplexity Institute (BI) focuses on solving complex problems that cannot be addressed within the narrow confines of a single discipline or by a single researcher. The Biocomplexity Institute has developed a unique transdisciplinary team-science approach to tackling such problems and finding AI-enabled solutions for scientific and societal applications in areas such as public health, the labor market, biotechnology, and independent critical infrastructures. BI works to foster global collaborative networks that advance the research agenda and develop innovative experiential learning programs for students. The Institute has made significant advances in high-performance computing (HPC), AI, and machine learning, and created international cyberinfrastructure and HPC ecosystems. Since 2018, the Biocomplexity Institute has brought in more than $100 million in federal funding.
- The Paul and Diane Manning Institute of Biotechnology : Designed to propel UVA to the forefront of cutting-edge medicine, the Paul and Diane Manning Institute of Biotechnology accelerates the development of new treatments and cures and transforms how healthcare is delivered across the Commonwealth and beyond. Within the School of Medicine, significant funds are invested each year to support translational life sciences research.
- National Security Data and Policy Institute : The NSDPI at UVA was established in 2024 to advance research and engagement with the national security and intelligence communities. The Institute's initial activities center on data and intelligence deliverables identified in partnership with the Office of the Director of National Intelligence. Through this work, the Institute is developing into a durable, interdisciplinary center for security research and government engagement.
Ideal Experience and Characteristics
UVA seeks a broad pool of candidates with the ability to help develop and advance a pan-University initiative and with demonstrated commitments to interdisciplinary collaboration, team building, and innovation. The ideal candidate is a scholar whose work and presence attract other faculty to UVA, with a record of building research programs or platforms and a clear vision for AI in business. UVA welcomes candidates from business, computing, the social sciences, and related disciplines, as well as researchers in industry with strong academic credentials.
Candidates must possess the academic credentials necessary to be eligible for a tenured full professor appointment at the Darden School of Business.
Other requirements:
Leadership and Collaboration: Strong leadership skills, with the ability to work collaboratively across disciplines and build meaningful partnerships. Administrative leadership experience, such as leading research groups, centers, or initiatives, is preferred.
- Academic Credentials: A terminal degree (Ph.D., JD, DBA, Ed.D., among others) in a related field, including but not limited to Decision Sciences, Computer Science, Data Science, Leadership, Management Science, Marketing, Operations Research, Statistics, Economics, Information Systems, Psychology, and Philosophy.
- Research Excellence: A distinguished record of research publications in leading journals and conferences in the candidate’s discipline, impactful contributions to the field, and recognition as a thought leader in AI and business, including, where relevant, attention to ethical considerations in AI applications.
- Teaching and Mentorship: Proven excellence in teaching and mentorship, with a commitment to fostering an inclusive, supportive, and student-centered learning environment, as well as experience developing teaching materials and establishing or maintaining interactions with practicing managers and academics.
- Industry and Philanthropic Engagement: Experience applying AI to business challenges and bridging the gap between academia and industry. Excellent communication, presentation, listening, and interpersonal skills; the ability to communicate with and inspire a broad array of stakeholders, including faculty, staff, students, alumni, and external partners; and the ability to engage donors, build rapport, and participate in securing philanthropic support for AI.
To Apply or Nomninate
UVA Executive Search Group (ESG) has been retained to assist in the search for the LaCross Artificial Intelligence in Business University Professorship. Confidential inquiries should be sent via email to Adam Seid, Senior Search Consultant, at seid@virginia.edu . Nominations may be submitted by email or through our online nomination form . To apply, submit a letter of interest and CV via Interfolio. The search will be carried out with full confidentiality.
Applications received by December 31, 2026, will be given priority consideration.
Head of AI Engineering Jobs by Experience Level
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Find Head of AI Engineering JobsHead of AI Engineering Job Market
Who's Hiring
- Booz Allen Hamilton20
- JPMorganChase11
- Johns Hopkins University Applied Physics Laboratory9
- University of San Diego6
- Penn State University4
Top Industries Hiring
- Education
- Technology & Software
- Banking & Financial Services
- Healthcare & Medical Services
- Insurance
What Employers Look For
The qualifications that appear most often in head of AI engineering jobs.
- 7+ years of experience in machine learning engineering or applied AI roles
- Proven experience leading and hiring teams of ML or AI engineers
- Deep proficiency in Python and frameworks such as PyTorch or TensorFlow
- Experience architecting and deploying large-scale model training and inference systems
- Strong background in MLOps, model monitoring, and production reliability
- Bachelor's or master's degree in computer science, engineering, or a related technical field
Tips for Your Head of AI Engineering Job Search
Quantify AI outcomes on your resume
Generic phrases like 'led AI initiatives' won't cut it. Show latency reductions, model accuracy gains, or cost savings your teams delivered. Hiring managers for head of ai engineering roles screen for measurable engineering impact, not titles or tenure.
Highlight your build-versus-buy decisions
Many head of ai engineering candidates undersell strategic judgment. Document specific cases where you chose to build a custom model, adopt a foundation model, or retire a legacy pipeline, and explain the tradeoffs you weighed. This is what distinguishes leaders from individual contributors.
Apply early to roles that fit
Migrate Mate lists head of ai engineering openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target companies at the right AI maturity stage
A startup building its first AI stack and a Fortune 500 scaling an existing platform need very different leaders. Read job descriptions closely for signals like 'build from zero' or 'scale existing systems' and tailor your cover letter to that specific phase.
Prepare a system design narrative for interviews
Head of ai engineering interviews almost always include a whiteboard or verbal system design round. Prepare two or three real architectures you've shipped, covering data pipelines, model serving, and monitoring, so you can walk through tradeoffs under pressure without reaching for generic examples.
Negotiate scope before you negotiate compensation
Before discussing total compensation, clarify reporting structure, team size, and budget authority. A head of ai engineering role with no direct reports and a constrained hiring budget limits your ability to deliver, and that affects the value of any offer you receive.
Head of AI Engineering Jobs: Frequently Asked Questions
Which companies are hiring the most head of ai engineerings?
Booz Allen Hamilton, JPMorganChase, and Johns Hopkins University Applied Physics Laboratory are hiring the most head of ai engineerings right now, with openings concentrated in California, Virginia, and New York, based on current listings on Migrate Mate as of November 2026. Demand is especially high at companies scaling generative AI products and those modernizing legacy data infrastructure with AI-native architectures.
How many head of ai engineering jobs are remote?
About 55% of head of ai engineering openings are fully remote or hybrid as of November 2026, reflecting the senior and strategic nature of the role. Sub-areas like AI platform architecture, LLM research, and MLOps leadership tend to have the highest share of remote-eligible positions, while roles tied to on-premise infrastructure or hardware teams are more likely to require on-site presence.
How do you become a head of ai engineering?
Start by building deep hands-on expertise in machine learning systems, then move into technical lead or staff engineer roles where you own architecture decisions. Transition into engineering management by taking on direct reports and delivery accountability. Demonstrate cross-functional influence by partnering with product and research teams, and build a record of shipping AI systems at production scale before targeting director or head-level roles.
Can you get a head of ai engineering role with limited leadership experience?
It's uncommon to land the title without prior management experience, but some companies hire strong individual contributors into head of ai engineering roles when the team is small and the expectation is to grow into full leadership. Your best path is to take on a tech lead or principal engineer role at a company with an active AI roadmap, demonstrate you can coordinate across teams, and move up from there.
What does the head of ai engineering interview process look like?
Most head of ai engineering interview processes include a recruiter screen, a technical depth conversation covering ML systems and architecture, a leadership and strategy round with senior executives, and a cross-functional interview with product or data science stakeholders. Many companies also include a take-home or live system design exercise focused on a real AI infrastructure problem. The process typically runs across multiple rounds over several weeks.
Where can I find and apply to head of ai engineering jobs?
You can find and apply to head of ai engineering jobs on Migrate Mate, which lists current openings from companies across the United States. Search the listings to find roles that match your experience and location preferences, then apply directly to each one that fits.
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