Software Engineer AI Jobs in Virginia
Software Engineer AI jobs in Virginia are in high demand, concentrated in defense technology, federal contracting, cloud infrastructure, and enterprise software across seniority levels from entry-level through principal engineer. The largest hiring metros are Northern Virginia, Richmond, and the Tysons Corner corridor, where employers such as Booz Allen Hamilton, Leidos, and Amazon Web Services maintain substantial engineering operations. The most sought-after specialties include machine learning engineering, natural language processing, and AI-driven cybersecurity applications tied closely to Virginia's dense federal contractor ecosystem. Find a role that fits below and apply directly.
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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.
See All 75 Software Engineer AI Jobs in Virginia
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Find Software Engineer AI JobsSoftware Engineer AI Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Software Engineer AI Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Booz Allen Hamilton10

- General Dynamics Information Technology6

- MITRE3

- ECPI University3

- University of Virginia3

Top Industries Hiring
- Agriculture & Farming
What Virginia Employers Look For
The qualifications that appear most often in software engineer AI jobs across Virginia.
- Bachelor's or master's degree in computer science, artificial intelligence, or a closely related engineering field
- Proficiency in machine learning frameworks such as PyTorch, TensorFlow, or JAX for production model development
- Active or eligible U.S. security clearance, required by many Northern Virginia federal contractor roles
- Demonstrated experience deploying AI or ML models in cloud environments such as AWS, Azure, or Google Cloud
- Strong programming skills in Python and at least one compiled language such as C++ or Java
- Experience with MLOps tooling including model monitoring, versioning, and CI/CD pipelines for AI systems
Software Engineer AI Jobs in Virginia: Frequently Asked Questions
How do you become a software engineer ai in Virginia?
A bachelor's degree in computer science, artificial intelligence, or software engineering is the standard entry point in Virginia, with many employers preferring a master's for specialized AI roles. Virginia has no state-issued license for software engineers, so hiring decisions center on technical skills, portfolio projects, and relevant credentials such as AWS or Google Cloud machine learning certifications. Many Northern Virginia federal contractor roles also require candidates to be eligible for a security clearance before an offer is extended.
How much do software engineer AIs make in Virginia?
Software engineer AIs in Virginia earn a median of about $136,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $83,350 for the lowest 10% to over $211,930 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire software engineer ais in Virginia?
Employers hiring software engineer ais in Virginia right now include Booz Allen Hamilton, General Dynamics Information Technology, and MITRE, based on current listings on Migrate Mate as of November 2026. Virginia's concentration of federal agencies and defense contractors means many of the largest and most consistent hirers are companies with long-term government contracts anchored in the Northern Virginia region.
Which Virginia cities have the most software engineer ai jobs?
The cities with the most software engineer ai openings in Virginia are McLean, Arlington, and Chantilly. Northern Virginia dominates because of its density of federal agencies, defense contractors, and cloud infrastructure campuses, while Richmond draws hiring through state government technology offices and a growing base of financial technology and healthcare IT companies.
Are there remote software engineer ai jobs in Virginia?
Yes, and more than most fields. About 58% of software engineer ai openings tied to Virginia are remote or hybrid as of November 2026, reflecting the desk-based and collaborative nature of AI development work. The roles most consistently offered fully remote are those focused on model training, data pipeline engineering, and research, while positions requiring access to classified systems or on-site federal facilities are almost always in-person.
How can I get hired as a software engineer ai in Virginia with little or no experience?
The most realistic entry path is applying to associate or junior software engineer roles at large Virginia federal contractors such as Booz Allen Hamilton, SAIC, or Leidos, which run structured new-graduate programs and rotational programs that expose early-career engineers to AI and machine learning projects. Building a public portfolio of machine learning projects on GitHub, earning a cloud machine learning certification, and targeting internship-to-full-time conversion pipelines at Northern Virginia technology campuses gives candidates a measurable edge without years of prior experience.
Where can I find and apply to software engineer ai jobs in Virginia?
You can find and apply to software engineer ai jobs in Virginia on Migrate Mate, which lists current Virginia openings across Northern Virginia, Richmond, and other hiring markets in the state. Search the listings for roles that match your experience and specialization, then apply directly to the ones that fit.
See All 75 Software Engineer AI Jobs in Virginia
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