Software Engineer AI Visa Sponsorship Jobs in Maryland
Maryland's AI engineering market centers on the Baltimore-Washington corridor, where federal contractors like Booz Allen Hamilton, Leidos, and SAIC regularly hire software engineers focused on machine learning and AI systems. The National Security Agency's proximity in Fort Meade and a dense cluster of biotech and cybersecurity firms create consistent demand for AI engineering talent with visa sponsorship.
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Get Access To All JobsWork Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
The Senior Manager – Data Engineering & Applied Data Science is responsible for leading the strategy, design, and delivery of enterprise data products, applied data science, and AI solutions that enable business growth and digital transformation. This role leads a multidisciplinary team responsible for Data Engineering and Applied Data Science, transforming business challenges into scalable, production-ready data and AI products.
The successful candidate combines strong technical leadership with business acumen to design data products that address business needs, build AI-ready data foundations, develop advanced analytics and machine learning solutions, and continuously evolve capabilities through the adoption of emerging technologies and engineering best practices. This role is also accountable for ensuring enterprise data is AI-ready—standardized, contextualized, governed, and optimized for analytics, machine learning, and Generative AI use cases.
- Lead Data & AI Solution Delivery – Translate business priorities into scalable enterprise data products, advanced analytics, machine learning, and AI solutions that deliver measurable business value.
- Drive Data Engineering Excellence – Lead the design and delivery of reliable, secure, and scalable data pipelines and products while establishing engineering standards across DataOps, CI/CD, automation, observability, and cloud-native development.
- Advance Applied Data Science & AI – Guide the development and production deployment of machine learning, Generative AI, and advanced analytics solutions, including reusable frameworks and scalable AI capabilities.
- Build AI-Ready Data Foundations – Ensure enterprise data products are trusted, governed, contextualized, and optimized for analytics and AI through strong data quality, metadata, lineage, semantic models, and accessibility.
- Shape Technology Strategy & Innovation – Develop technology roadmaps and evaluate emerging technologies and architectural patterns that accelerate AI adoption, improve engineering productivity, and strengthen enterprise data capabilities.
- Lead Teams & Strategic Partnerships – Build and develop high-performing Data Engineering and Applied Data Science teams while partnering across business, architecture, platform, security, and technology functions to align priorities, communicate outcomes, and drive execution.
REQUIREMENTS
- Advanced Degree plus 6 years of experience, or Bachelor's Degree plus 8 years of experience in data science and analytics leadership roles
- Preferred Fields of Study: Data Science, Computer Science, Statistics, Mathematics, Analytics, or related field
- Advanced certifications in data science, machine learning, or AI technologies are valued
- Strong expertise in machine learning, AI, and statistical modeling techniques
- Advanced proficiency in programming languages including Python, R, and SQL
- Experience with major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Demonstrated success leading and mentoring data science teams
- Expertise in data visualization tools (Tableau, Power BI) and BI platforms
- Proven track record of implementing large-scale data science solutions
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies
- Strong knowledge of data governance and regulatory compliance
- Excellent project management and cross-functional collaboration skills
- Outstanding communication abilities to translate technical concepts for diverse audiences
- Experience with Agile/Scrum methodologies
- Ability to travel up to 20% as needed
- Proven ability to deliver business results through data-driven insights
- Experience with automation tools and process optimization
- Strong problem-solving and analytical thinking capabilities
Compensation and Benefits
The salary range estimated for this position based in California is $152,000.00–$227,900.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
- A choice of national medical and dental plans, and a national vision plan, including health incentive programs
- Employee assistance and family support programs, including commuter benefits and tuition reimbursement
- At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
- Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
- Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
The Senior Manager – Data Engineering & Applied Data Science is responsible for leading the strategy, design, and delivery of enterprise data products, applied data science, and AI solutions that enable business growth and digital transformation. This role leads a multidisciplinary team responsible for Data Engineering and Applied Data Science, transforming business challenges into scalable, production-ready data and AI products.
The successful candidate combines strong technical leadership with business acumen to design data products that address business needs, build AI-ready data foundations, develop advanced analytics and machine learning solutions, and continuously evolve capabilities through the adoption of emerging technologies and engineering best practices. This role is also accountable for ensuring enterprise data is AI-ready—standardized, contextualized, governed, and optimized for analytics, machine learning, and Generative AI use cases.
- Lead Data & AI Solution Delivery – Translate business priorities into scalable enterprise data products, advanced analytics, machine learning, and AI solutions that deliver measurable business value.
- Drive Data Engineering Excellence – Lead the design and delivery of reliable, secure, and scalable data pipelines and products while establishing engineering standards across DataOps, CI/CD, automation, observability, and cloud-native development.
- Advance Applied Data Science & AI – Guide the development and production deployment of machine learning, Generative AI, and advanced analytics solutions, including reusable frameworks and scalable AI capabilities.
- Build AI-Ready Data Foundations – Ensure enterprise data products are trusted, governed, contextualized, and optimized for analytics and AI through strong data quality, metadata, lineage, semantic models, and accessibility.
- Shape Technology Strategy & Innovation – Develop technology roadmaps and evaluate emerging technologies and architectural patterns that accelerate AI adoption, improve engineering productivity, and strengthen enterprise data capabilities.
- Lead Teams & Strategic Partnerships – Build and develop high-performing Data Engineering and Applied Data Science teams while partnering across business, architecture, platform, security, and technology functions to align priorities, communicate outcomes, and drive execution.
REQUIREMENTS
- Advanced Degree plus 6 years of experience, or Bachelor's Degree plus 8 years of experience in data science and analytics leadership roles
- Preferred Fields of Study: Data Science, Computer Science, Statistics, Mathematics, Analytics, or related field
- Advanced certifications in data science, machine learning, or AI technologies are valued
- Strong expertise in machine learning, AI, and statistical modeling techniques
- Advanced proficiency in programming languages including Python, R, and SQL
- Experience with major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Demonstrated success leading and mentoring data science teams
- Expertise in data visualization tools (Tableau, Power BI) and BI platforms
- Proven track record of implementing large-scale data science solutions
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies
- Strong knowledge of data governance and regulatory compliance
- Excellent project management and cross-functional collaboration skills
- Outstanding communication abilities to translate technical concepts for diverse audiences
- Experience with Agile/Scrum methodologies
- Ability to travel up to 20% as needed
- Proven ability to deliver business results through data-driven insights
- Experience with automation tools and process optimization
- Strong problem-solving and analytical thinking capabilities
Compensation and Benefits
The salary range estimated for this position based in California is $152,000.00–$227,900.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
- A choice of national medical and dental plans, and a national vision plan, including health incentive programs
- Employee assistance and family support programs, including commuter benefits and tuition reimbursement
- At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
- Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
- Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
Software Engineer AI Job Roles in Maryland
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Search Software Engineer AI Jobs in MarylandSoftware Engineer AI Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for software engineer AIs in Maryland?
Federal contractors and defense technology firms dominate Maryland's AI sponsorship activity. Booz Allen Hamilton, Leidos, SAIC, and Northrop Grumman have all filed H-1B visa petitions for AI and machine learning engineering roles in the state. Outside the defense sector, companies in the Baltimore biotech corridor and financial technology firms in the DC suburbs also sponsor AI engineers with some regularity.
Which visa types are most common for software engineer AI roles in Maryland?
The H-1B is the most common visa category for AI software engineers in Maryland, used by both defense contractors and private-sector employers. Australians may qualify for the E-3 visa, which skips the lottery. Canadians and Mexicans can pursue TN visa status under the USMCA. Some candidates with exceptional research records explore the O-1A or EB-1A pathways, particularly those coming from university AI programs.
Which cities in Maryland have the most software engineer AI sponsorship jobs?
Bethesda, Rockville, and the greater Montgomery County area see the heaviest concentration of AI engineering sponsorship jobs, driven by proximity to federal agencies and large contractor campuses. Baltimore is the second major hub, particularly for health AI and cybersecurity roles tied to Johns Hopkins and the University of Maryland. The Annapolis Junction area near Fort Meade also generates demand around national security AI work.
How to find software engineer AI visa sponsorship jobs in Maryland?
Migrate Mate filters job listings specifically for roles that offer visa sponsorship, so you can search software engineer AI positions in Maryland without sifting through listings that won't support international candidates. Given how many Maryland postings are tied to federal contracts with clearance requirements, Migrate Mate helps identify which openings are realistically accessible to candidates who need sponsorship and do not yet hold a clearance.
Are there state-specific considerations for AI software engineers seeking sponsorship in Maryland?
Maryland's heavy federal contractor presence creates an important caveat: many AI engineering roles require a U.S. security clearance, which is only available to U.S. citizens and permanent residents. International candidates on H-1B or similar visas are generally ineligible for these positions. Focusing on private-sector employers in biotech, fintech, and commercial AI, as well as university-affiliated research roles, gives sponsored candidates a more realistic set of targets in the state.
What is the prevailing wage for sponsored software engineer ai jobs in Maryland?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.