Lead AI Engineer Visa Sponsorship Jobs in Maryland
Lead AI engineer roles in Maryland draw heavily from the state's defense and intelligence corridor, with major employers including Northrop Grumman, Leidos, Booz Allen Hamilton, and SAIC concentrated around the Baltimore-Washington metro. The National Security Agency's Fort Meade campus and Johns Hopkins University's applied research divisions add further depth to the local AI talent market.
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At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.
We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.
Join us for the opportunity to grow and make a difference in ways that matter to you.
Role Summary
This person will own technical build-out and operation of enterprise AI platform integrations — identity, connectors, and control-plane guardrails — across vendors (Microsoft, OpenAI, Anthropic, ServiceNow, Salesforce, and future providers), lead the AI support and enablement function — support model, user onboarding, adoption enablement, and stakeholder relationships with high-touch business groups — and serve as L3/L4 escalation for platform and connector defects.
Responsibilities
- Design, build, and maintain enterprise AI connectors and integration points: SSO/SCIM/MAR, RBAC, Microsoft Graph, MCP, Apigee, Office plugins, and internal data source integrations
- Implement and operate Control Plane guardrails for agentic/autonomous capabilities: capability registry, identity/entitlement controls, data/action/memory/autonomy controls, logging, and evidence collection
- Serve as L3/L4 technical escalation for platform defects, connector failures, and model/runtime issues raised by Tier 0–2 support
- Lead the AI support model: define Tier 0–2 triage, escalation paths, SLAs, and knowledge base content, and direct support staff and vendor support relationships
- Lead user enablement: onboarding, training, office hours, and adoption guidance, and analyze support trends and user feedback to drive product and process improvements
- Own relationship management with high-touch business groups serve as trusted technical partner and escalation point, run regular check-ins, understand their workflows and data sensitivities, and proactively shape support and enablement plans to their needs
- Partner with Labs/App Dev on Build-Operate-Transfer (BOT): technical discovery, build approach, and readiness artifacts (runbook, telemetry, SSO/SCIM/RBAC setup, DLP/data controls) for handoff to WXT operate
- Own provisioning and entitlement hygiene: license/access provisioning and deprovisioning, group-based access models, and vendor admin configuration
- Maintain logging, telemetry, and observability pipelines to support monitoring, incident investigation, and governance evidence/registry requirements
- Evaluate vendor feature and connector enablement requests for technical risk, routing higher-risk items to AIGEC/Risk/Legal/Privacy/Security as needed
- Contribute to vendor-specific Control Adapter templates: licensing model, admin roles, data residency/training posture, logging exports, DLP/tenant restrictions, and API/MCP/connector documentation
- Support platform retirement/decommissioning: access disablement, integration shutdown, and data retention/deletion per governance requirements
Qualifications
Required:
- 5+ years in integration/platform engineering, identity & access engineering, or enterprise SaaS administration
- Experience leading or mentoring engineers and running a technical support or enablement function
- Proven relationship management and stakeholder communication skills, including supporting senior, high-touch business users (e.g., investment professionals)
- Hands-on experience with SSO/SAML/OIDC, SCIM provisioning, RBAC design, and enterprise identity platforms
- Experience integrating enterprise applications via APIs, API gateways (e.g., Apigee), Microsoft Graph, or MCP-based tool/connector patterns
- Familiarity with AI platform administration (Microsoft 365 Copilot, ChatGPT Enterprise, Anthropic Claude, or similar) including admin consoles, DLP, and compliance logging
- Understanding of agentic AI risk concepts (tool use, memory, autonomy) and control-plane/guardrail design
- Experience with observability/logging tooling and FinOps/usage reporting for SaaS or cloud platforms
- Ability to produce and maintain technical runbooks, architecture/control documentation, and registry/evidence artifacts
- Comfortable operating as L3/L4 escalation point and partnering with vendor support teams
Preferred:
- Experience in financial services or another highly regulated industry
FINRA Requirements
FINRA licenses are not required and will not be supported for this role.
Work Flexibility
This role is eligible for hybrid work, with up to three days per week from home.
Base Salary Ranges
Please review the job posting for the location of this specific opportunity.
- $110,000.00 - $188,000.00 for the location of: Maryland, Colorado, Washington and remote workers
- $121,000.00 - $207,000.00 for the location of: Washington, D.C.
- $138,000.00 - $236,000.00 for the location of: New York, California
Placement within the range provided above is based on the individual’s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.
Commitment to Diversity, Equity, and Inclusion
At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.
Benefits
We value your goals and needs, at work and in life. As an associate, you’ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.
Featured employee benefits to enrich your life:
- Competitive compensation
- Annual bonus eligibility
- A generous retirement plan
- Hybrid work schedule
- Health and wellness benefits, including online therapy
- Paid time off for vacation, illness, medical appointments, and volunteering days
- Family care resources, including fertility and adoption benefits
Learn more about our benefits.
T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.
Lead AI Engineer Job Roles in Maryland
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Search Lead AI Engineer Jobs in MarylandLead AI Engineer Jobs in Maryland: Frequently Asked Questions
Which companies in Maryland sponsor visas for lead AI engineers?
Maryland's strongest lead AI engineer sponsors are concentrated in defense technology and federal contracting. Booz Allen Hamilton, Leidos, Northrop Grumman, and SAIC have consistent H-1B visa Labor Condition Application filings for senior AI and machine learning roles. Beyond defense, firms like T. Rowe Price and CareFirst in Baltimore have also filed for AI engineering positions, reflecting demand across both government-adjacent and commercial sectors.
What visa types realistically apply to lead AI engineer roles in Maryland?
Lead AI engineer positions qualify as specialty occupations requiring a directly related bachelor's degree or higher, making the H-1B the primary visa pathway. The H-1B1 visa applies to Chilean and Singaporean nationals, and the E-3 visa applies to Australian nationals, both also requiring specialty occupation eligibility. Canadian and Mexican nationals may qualify under TN visa status as engineers. EB-2 and EB-3 green card categories are common longer-term pathways through PERM labor certification.
How to find lead ai engineer visa sponsorship jobs in Maryland?
Migrate Mate lists Maryland lead AI engineer roles specifically with verified employer sponsorship history, so you can focus on companies that have demonstrated willingness to file for this role type. Given that many Maryland AI positions sit within defense contractors requiring security clearances, filtering for employers with active LCA filing histories for AI engineering titles is especially useful before applying.
Which cities in Maryland have the most lead AI engineer sponsorship jobs?
The Baltimore-Columbia-Towson metro corridor accounts for the majority of Maryland's lead AI engineer sponsorship activity, with heavy concentration in Columbia, Bethesda, and Rockville along the I-270 technology corridor. The Fort Meade and Annapolis Junction area draws significant AI engineering demand tied to defense and intelligence agency contracts. Smaller but active clusters exist in downtown Baltimore near Johns Hopkins and the University of Maryland BioPark.
Are there state-specific factors that affect visa sponsorship for lead AI engineers in Maryland?
Maryland's dominant employer base for lead AI engineers is in defense contracting and federal agency support, where many roles require U.S. security clearances. Clearance eligibility is restricted to U.S. citizens and certain permanent residents, so active visa holders are frequently limited to unclassified or commercial AI positions. University research pipelines at the University of Maryland College Park and Johns Hopkins generate demand, particularly for roles in computer vision, natural language processing, and applied machine learning.
What is the prevailing wage for sponsored lead ai engineer 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.