AI Data Engineer Jobs in Maryland
AI Data Engineer jobs in Maryland are concentrated in the Baltimore metro, the Washington D.C. suburbs of Montgomery and Prince George's counties, and the Annapolis corridor, where federal agencies and defense contractors drive sustained demand for data pipeline, MLOps, and large-language-model infrastructure expertise. Employers with a lasting Maryland presence that regularly hire for this role include Leidos, Northrop Grumman, and the Johns Hopkins Applied Physics Laboratory. Openings range from mid-level engineers building cloud-native data platforms to senior architects overseeing AI/ML workflows at scale. Scan the live roles below and apply to whichever ones fit.
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We are currently seeking a Managing Director, Data AI to join our team in Baltimore, Maryland (US-MD), United States (US).
Position Summary
NTT DATA's North America AI Industry Solutions team is seeking a highly strategic and visionary Managing Director, Data AI Solutions Leader for AI Industry Solutions. This senior leadership role is responsible for defining and driving North America's AI-native industry solutions strategy, accelerating innovation, influencing market perception, and enabling industry-focused go-to-market execution. The Managing Director will lead the development, positioning, and commercialization of differentiated AI solutions, platforms, accelerators, and minimum viable products (MVPs) that help clients transform their businesses through AI. Working closely with industry leadership, Data AI practices, strategic alliances, sales, marketing, and delivery teams, this executive will establish solution priorities, shape investment decisions, and drive market adoption across multiple industries. As a senior external representative of NTT DATA, the Managing Director will engage directly with C-suite executives, analysts, advisors, technology partners, and industry influencers to articulate NTT DATA's vision for AI-powered business transformation and strengthen the firm's leadership position in the market.
Key Responsibilities
AI Industry Strategy Solution Innovation
- Define and lead North America's AI-native industry solutions strategy, aligning investments and priorities with NTT DATA's growth objectives and industry agendas.
- Establish and maintain a portfolio of industry-specific AI offerings, accelerators, demos, and MVPs that drive measurable business outcomes and scalable market differentiation.
- Identify emerging market opportunities, industry disruption trends, competitive threats, and client needs to inform solution development and innovation priorities.
- Collaborate with industry, consulting, engineering, cloud, data, and AI leaders to design differentiated solutions that address strategic client challenges.
- Develop strategic roadmaps for industry AI solutions and oversee execution from concept through commercialization.
- Serve as the executive sponsor for solution innovation initiatives and AI-enabled industry transformation programs.
- Partner with Industry Leaders, Client Growth Leaders, Sales Leadership, and Alliance teams to accelerate pipeline development and market adoption of AI offerings.
- Support strategic pursuits, executive client engagements, and large-deal opportunities through solution positioning, demonstrations, and executive presentations.
- Guide the development of solution messaging, value propositions, business cases, and client-facing collateral.
- Enable sales and account teams by creating and maintaining a repository of AI assets, use cases, demos, and industry-specific solution materials.
- Contribute to revenue growth by influencing strategic opportunities and supporting priority pursuits across North American industries.
- Serve as a senior spokesperson and market representative for NTT DATA's AI and industry transformation strategy.
- Lead executive engagements with analyst and advisory firms including Gartner, Everest Group, ISG, IDC, HFS Research, and other influential market stakeholders.
- Develop and deliver strategic analyst briefings, response content, market positioning materials, and thought leadership narratives.
- Build trusted relationships with analysts, advisors, technology partners, and ecosystem organizations to enhance NTT DATA's market visibility and industry recognition.
- Influence industry perceptions and strengthen NTT DATA's positioning in analyst evaluations, market reports, and industry rankings.
- Represent NTT DATA at industry conferences, executive forums, webinars, client events, and partner engagements.
- Publish and contribute to thought leadership focused on AI transformation, industry modernization, intelligent operations, and emerging technologies.
- Monitor advancements in Artificial Intelligence, Generative AI, Agentic AI, automation, cloud, and data platforms to identify opportunities for new offerings and market differentiation.
- Shape NTT DATA's point of view on future industry trends and AI-driven business transformation.
- Collaborate with executive leadership to communicate the company's AI strategy and innovation agenda to internal and external audiences.
- Influence senior executives across industry, sales, consulting, and technology organizations to align around strategic priorities and solution investments.
- Lead cross-functional teams and executive stakeholders in a highly matrixed environment.
- Mentor and develop solution leaders, architects, strategists, and industry specialists.
- Drive accountability for solution portfolio performance, market impact, and business outcomes.
- Bachelor's degree in Business, Technology, Engineering, Computer Science, or a related field.
- 15+ years of experience in consulting, digital transformation, industry strategy, product management, AI solutions, or technology leadership roles.
- 8+ years of leadership experience driving complex, enterprise-wide initiatives in a matrixed organization.
- Demonstrated success defining, launching, and scaling technology-enabled or AI-driven solutions in the marketplace.
- Deep understanding of Artificial Intelligence, Generative AI, Agentic AI, data and analytics, cloud technologies, and digital transformation.
- Proven experience engaging directly with C-suite executives, strategic clients, analysts, and industry influencers.
- Strong executive presence with exceptional communication, storytelling, presentation, and relationship-management skills.
- Ability to translate emerging technologies into compelling business value, market opportunities, and growth strategies.
- Experience supporting large strategic pursuits and revenue-generating go-to-market initiatives.
- Master's degree or MBA in Business, Technology, Artificial Intelligence, Data Science, or a related field.
- Experience supporting analyst relations programs and strategic advisor engagements.
- Experience leading industry-focused solution portfolios across Financial Services, Healthcare, Manufacturing, Retail, Telecommunications, or Public Sector.
- Strong understanding of AI platforms, hyperscaler ecosystems, cloud providers, and emerging technology partnerships.
- Proven track record of thought leadership through publications, conference speaking engagements, or industry recognition.
- Growth and adoption of AI-native industry solutions across North America.
- Contribution to pipeline creation, strategic pursuits, and revenue influenced by AI industry offerings.
- Increased analyst recognition, market visibility, and thought leadership positioning.
- Expansion of reusable AI assets, demonstrations, accelerators, and industry solution frameworks.
- Executive stakeholder satisfaction and successful cross-functional alignment.
- Development of strategic partnerships and ecosystem engagement that accelerate business growth.
- Advancement of NTT DATA's leadership position in AI-powered industry transformation.
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this role is $150,000 - $350,000 per year. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This role may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
See All 38 AI Data Engineer Jobs in Maryland
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Find AI Data Engineer JobsAI Data Engineer Jobs by City in Maryland
Where Maryland roles are concentrated, by current openings.
AI Data Engineer Job Market in Maryland
A snapshot from current Maryland openings, updated as new roles post.
Who's Hiring


Top Industries Hiring
- Technology & Software
What Maryland Employers Look For
The qualifications that appear most often in AI data engineer jobs across Maryland.
- Bachelor's degree in computer science, data engineering, or a closely related technical field
- Hands-on experience building and maintaining data pipelines using Apache Spark or similar frameworks
- Proficiency in Python and SQL for data transformation, modeling, and automation tasks
- Experience deploying and managing data infrastructure on AWS, Azure, or Google Cloud Platform
- Familiarity with MLOps practices including model versioning, monitoring, and CI/CD for ML workflows
- Active or obtainable U.S. government security clearance, required by many Maryland federal contractors
AI Data Engineer Jobs in Maryland: Frequently Asked Questions
How do you become an ai data engineer in Maryland?
Most Maryland employers expect a bachelor's degree in computer science, information systems, or a related field as the foundation. There is no state-issued license specific to ai data engineering in Maryland, so the hiring path runs through demonstrated technical skills: proficiency in cloud platforms, data pipeline tools, and machine learning frameworks. A portfolio of deployed projects or a recognized cloud certification from AWS, Microsoft Azure, or Google strengthens a candidate considerably in this market.
How much do AI data engineers make in Maryland?
AI data engineers in Maryland earn a median of about $136,370 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,930 for the lowest 10% to over $213,270 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in Maryland?
Employers hiring ai data engineers in Maryland right now include Johns Hopkins University Applied Physics Laboratory, Johns Hopkins University, and Wyetech, based on current listings on Migrate Mate as of November 2026. Maryland's heavy concentration of federal contractors and government-adjacent technology firms means many of these roles also require or prefer candidates eligible for a security clearance.
Which Maryland cities have the most ai data engineer jobs?
The cities with the most ai data engineer openings in Maryland are Laurel, Baltimore, and Annapolis Junction. The distribution reflects the density of federal agencies, defense contractors, and research institutions anchored in the Baltimore-to-D.C. corridor, with suburban hubs like Bethesda and Columbia drawing additional demand from health IT and government services firms headquartered there.
Are there remote ai data engineer jobs in Maryland?
Yes, and more than most fields. About 77% of ai data engineer openings tied to Maryland are remote or hybrid as of November 2026, reflecting how naturally the work suits distributed environments. The most remote-compatible parts of the role are data pipeline development, cloud infrastructure work, and model experimentation, while positions requiring access to classified systems or on-site federal facilities tend to be fully in-person.
How can I get hired as an ai data engineer in Maryland with little or no experience?
The most realistic entry path is moving laterally from a data analyst or data analyst role while building an independent project portfolio that demonstrates pipeline and ML workflow skills. Maryland's large federal contractors, including Leidos and Northrop Grumman, and institutions like the Johns Hopkins Applied Physics Laboratory periodically run new-graduate associate programs that serve as structured entry points. Earning a cloud data engineering certification and contributing to open-source data projects makes a candidate credible even without direct job history in the title.
Where can I find and apply to ai data engineer jobs in Maryland?
You can find and apply to ai data engineer jobs in Maryland on Migrate Mate, which lists current Maryland openings updated regularly. Search the roles available, find the ones that match your background and preferences, and apply directly to the employers posting them.
See All 38 AI Data Engineer Jobs in Maryland
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