AI Solutions Specialist Jobs
AI Solutions Specialist jobs are open across enterprise software, financial services, healthcare, manufacturing, and consulting, from associate to principal and director level, with specializations in conversational AI, machine learning deployment, and enterprise automation. 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.
AI Solutions Specialist Jobs by Experience Level
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Find AI Solutions Specialist JobsAI Solutions Specialist Job Market
Who's Hiring
- CVS Health52
- Amazon Web Services47
- NVIDIA13
- Amazon13
- JPMorganChase13
Top Industries Hiring
- Technology & Software27
- Consulting & Professional Services15
- Education10
- Banking & Financial Services10
- Insurance9
What Employers Look For
The qualifications that appear most often in AI solutions specialist jobs.
- Experience designing and deploying AI or machine learning solutions in production environments
- Proficiency with cloud platforms such as Azure, AWS, or Google Cloud AI services
- Ability to translate complex AI capabilities into clear value for non-technical stakeholders
- Familiarity with large language models, NLP frameworks, or computer vision toolkits
- Bachelor's or master's degree in computer science, data science, or a related technical field
- Experience working with enterprise software integrations, APIs, and data pipeline architectures
Tips for Your AI Solutions Specialist Job Search
Tailor your resume to deployment depth
Hiring managers want to see you've taken AI from prototype to production, not just experimented with models. Call out the specific tools, cloud platforms, and business outcomes tied to each project so your resume reads as an operator, not a theorist.
Apply early to roles that fit
Migrate Mate lists ai solutions specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight cross-functional communication skills
AI solutions specialists are often the bridge between data science teams and non-technical stakeholders. Show concrete examples where you translated a model's output into a business decision, since employers screen heavily for this in early interviews.
Target postings by deployment environment
Filter openings by the environment you know best, whether that's Azure, AWS, Google Cloud, or on-premise enterprise stacks. Applying to roles that match your actual deployment experience dramatically improves your callback rate compared to broad applications.
Prepare a demo-ready portfolio piece
Many ai solutions specialist interviews include a live walkthrough or case study. Have at least one end-to-end solution you can demo or describe in detail, covering the problem framing, architecture decisions, and measurable impact on business operations.
Negotiate scope before negotiating compensation
In later-stage interviews, clarify whether the role owns solution architecture or just implements vendor tools. Scope affects career growth and your leverage, so align on responsibilities before discussing compensation to avoid accepting a narrower role than advertised.
AI Solutions Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most ai solutions specialists?
CVS Health, Amazon Web Services, and NVIDIA are hiring the most ai solutions specialists right now, with openings concentrated in California, Texas, and New York, based on current listings on Migrate Mate as of November 2026. Demand is especially strong at enterprise software vendors and large financial services firms investing in internal AI capabilities.
How many ai solutions specialist jobs are remote?
About 77% of ai solutions specialist openings are fully remote or hybrid as of November 2026, reflecting the technical and consultative nature of the role. Sub-areas focused on client-facing solution design and pre-sales engineering tend to offer the highest concentration of remote and hybrid arrangements.
How do you become an ai solutions specialist?
Start by building hands-on experience with at least one major cloud AI platform and completing projects that go from raw data to a deployed model or automated workflow. Develop fluency in both technical implementation and business problem framing, since the role requires both. Certifications from major cloud providers strengthen your candidacy, and contributing to open-source AI projects or publishing case studies builds a portfolio that hiring managers can evaluate concretely.
How do you get hired as an ai solutions specialist with little experience?
Focus on building a small portfolio of end-to-end projects, even if they are self-initiated or freelance, that demonstrate you can scope a problem, select an appropriate model or tool, and measure the outcome. Roles titled AI analyst, solutions engineer, or technical consultant often serve as entry points and require overlapping skills. Demonstrating fluency with cloud AI services and showing you can communicate findings to a non-technical audience closes a lot of the experience gap for employers hiring at the associate level.
What does the ai solutions specialist interview process look like?
The process typically starts with a recruiter screen focused on your background and tool familiarity, followed by a technical interview where you walk through past projects or solve a scoped AI problem. Many employers include a case study or presentation round where you are asked to propose a solution architecture for a hypothetical business challenge. Final rounds usually involve senior stakeholders assessing how well you communicate AI concepts to non-technical audiences and whether your approach aligns with their existing tech stack.
Where can I find and apply to ai solutions specialist jobs?
You can find and apply to ai solutions specialist jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and preferred location, then apply directly to each one that fits your background.
See All 920+ AI Solutions Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
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