AI Engineer Visa Sponsorship Jobs in Delaware
Delaware's AI engineer job market is anchored by financial services firms in Wilmington, life sciences companies along the Rt. 202 corridor, and a growing tech presence from employers like JPMorgan Chase, DuPont, and AstraZeneca. Visa sponsorship is available, particularly for roles involving machine learning infrastructure, NLP, and applied AI in regulated industries.
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The AI Governance & Controls Lead is the senior individual contributor responsible for operationalizing M&T's AI governance framework: authoring and maintaining AI standards and controls, executing the policy exception and deviation processes, and producing the examiner-ready evidence that demonstrates our controls are enforced mechanically rather than attested annually. This role partners closely with Technology Risk Management, Model Risk Management, Compliance, Cybersecurity, Enterprise Architecture, and the enterprise AI platform team to ensure every AI use case at the bank operates within a defensible, testable control framework.
This is a hands-on, technically fluent governance role. The Lead works directly with platform-enforced controls (gateway policies, entitlements, quotas, audit logging), translates regulatory obligations (e.g., SR 26-2, NYDFS guidance) into implementable standards, and validates that evidence generated by the platform satisfies second-line and examiner expectations. The role serves as a key contributor to policy refresh cycles, regulatory response efforts, and the continuous-monitoring design that replaces point-in-time annual review.
Responsibilities
Standards, Controls & Policy Execution
- Author, maintain, and version the bank's AI standards library: model selection and approval, human oversight tiers, prompt/response logging and retention, agentic guardrails, and acceptable-use requirements.
- Build and maintain the obligation-to-control-to-evidence mapping against applicable regulatory guidance (SR 26-2, NYDFS, and evolving supervisory expectations).
- Operate the AI policy exception and TRM deviation processes: draft time-bound deviation requests, define compensating controls, track expiries and remediation paths to closure.
- Support annual policy refresh cycles and translate policy principles into testable, enforceable requirements in partnership with policy owners.
Platform-Enforced Governance & Evidence
- Partner with the AI platform team to ensure governance requirements are enforced mechanically at the enterprise AI gateway (entitlements, model allowlists, quotas, audit logging) and that enforcement produces native evidence.
- Define evidence requirements and validate audit artifacts as queryable, export-ready, and sufficient for internal audit, second-line review, and examiner requests.
- Design and operate continuous-monitoring practices: monitoring boundaries, event-based review triggers, and evidence expectations for AI systems that change frequently.
- Maintain the AI use case and agent registry as the system of record, integrated with platform onboarding and entitlement workflows.
- Provide governance ownership of the AI use-case intake framework in partnership with the AI Use Case Intake & Value Lead.
Risk Partnership & Regulatory Readiness
- Serve as the primary working-level interface to Technology Risk Management, Model Risk Management, Compliance, and Internal Audit for AI governance matters.
- Assemble examiner-readiness packages: control mappings, evidence samples from the live platform, and documented rationale for the standards the bank has defined.
- Monitor the regulatory and industry landscape (agency guidance, FSB/trade-group developments) and assess impact to standards and controls.
- Support AI Control Group and AI Ethics Working Group activities with documented assessments and control recommendations.
Skills
Must have
- Bachelor's degree and a minimum of 5 years' experience in technology risk, IT governance, information security governance, or technology compliance within a regulated environment, or in lieu of a degree, a combined minimum of 9 years' education and/or relevant work experience.
- Demonstrated experience authoring technology standards, controls, or policies and mapping them to regulatory obligations.
- Working technical fluency with modern AI systems: LLM-based applications, API gateways, model access patterns, RBAC/entitlements, logging and monitoring architectures.
- Experience preparing for or responding to internal audit, second-line review, or regulatory examination.
- Strong analytical writing: able to produce standards, deviation requests, and evidence narratives that survive challenge.
- Strong communication and stakeholder management skills across risk, technology, and business partners.
Nice to have
- Experience with AI/ML governance frameworks (NIST AI RMF, model risk management guidance, SR 11-7/SR 26-2 lineage).
- Familiarity with Azure services relevant to AI workloads (API Management, Entra ID, Key Vault, Azure Monitor) and with policy-as-code or controls-automation concepts.
- Financial services or other highly regulated industry experience.
- Experience with GRC tooling and evidence management.
- Experience supporting AI, data, or technology committees and governance forums.
Other
Languages
- English: C1 Advanced
Seniority
- Lead
LOCATION
Wilmington, US, Delaware, United States of America
Req. VR-124257
Enterprise Architecture
BCM Industry
29/07/2026
Req. VR-124257
Project description
The AI Governance & Controls Lead is the senior individual contributor responsible for operationalizing M&T's AI governance framework: authoring and maintaining AI standards and controls, executing the policy exception and deviation processes, and producing the examiner-ready evidence that demonstrates our controls are enforced mechanically rather than attested annually. This role partners closely with Technology Risk Management, Model Risk Management, Compliance, Cybersecurity, Enterprise Architecture, and the enterprise AI platform team to ensure every AI use case at the bank operates within a defensible, testable control framework.
This is a hands-on, technically fluent governance role. The Lead works directly with platform-enforced controls (gateway policies, entitlements, quotas, audit logging), translates regulatory obligations (e.g., SR 26-2, NYDFS guidance) into implementable standards, and validates that evidence generated by the platform satisfies second-line and examiner expectations. The role serves as a key contributor to policy refresh cycles, regulatory response efforts, and the continuous-monitoring design that replaces point-in-time annual review.
Responsibilities
Standards, Controls & Policy Execution
- Author, maintain, and version the bank's AI standards library: model selection and approval, human oversight tiers, prompt/response logging and retention, agentic guardrails, and acceptable-use requirements.
- Build and maintain the obligation-to-control-to-evidence mapping against applicable regulatory guidance (SR 26-2, NYDFS, and evolving supervisory expectations).
- Operate the AI policy exception and TRM deviation processes: draft time-bound deviation requests, define compensating controls, track expiries and remediation paths to closure.
- Support annual policy refresh cycles and translate policy principles into testable, enforceable requirements in partnership with policy owners.
Platform-Enforced Governance & Evidence
- Partner with the AI platform team to ensure governance requirements are enforced mechanically at the enterprise AI gateway (entitlements, model allowlists, quotas, audit logging) and that enforcement produces native evidence.
- Define evidence requirements and validate audit artifacts as queryable, export-ready, and sufficient for internal audit, second-line review, and examiner requests.
- Design and operate continuous-monitoring practices: monitoring boundaries, event-based review triggers, and evidence expectations for AI systems that change frequently.
- Maintain the AI use case and agent registry as the system of record, integrated with platform onboarding and entitlement workflows.
- Provide governance ownership of the AI use-case intake framework in partnership with the AI Use Case Intake & Value Lead.
Risk Partnership & Regulatory Readiness
- Serve as the primary working-level interface to Technology Risk Management, Model Risk Management, Compliance, and Internal Audit for AI governance matters.
- Assemble examiner-readiness packages: control mappings, evidence samples from the live platform, and documented rationale for the standards the bank has defined.
- Monitor the regulatory and industry landscape (agency guidance, FSB/trade-group developments) and assess impact to standards and controls.
- Support AI Control Group and AI Ethics Working Group activities with documented assessments and control recommendations.
Skills
Must have
- Bachelor's degree and a minimum of 5 years' experience in technology risk, IT governance, information security governance, or technology compliance within a regulated environment, or in lieu of a degree, a combined minimum of 9 years' education and/or relevant work experience.
- Demonstrated experience authoring technology standards, controls, or policies and mapping them to regulatory obligations.
- Working technical fluency with modern AI systems: LLM-based applications, API gateways, model access patterns, RBAC/entitlements, logging and monitoring architectures.
- Experience preparing for or responding to internal audit, second-line review, or regulatory examination.
- Strong analytical writing: able to produce standards, deviation requests, and evidence narratives that survive challenge.
- Strong communication and stakeholder management skills across risk, technology, and business partners.
Nice to have
- Experience with AI/ML governance frameworks (NIST AI RMF, model risk management guidance, SR 11-7/SR 26-2 lineage).
- Familiarity with Azure services relevant to AI workloads (API Management, Entra ID, Key Vault, Azure Monitor) and with policy-as-code or controls-automation concepts.
- Financial services or other highly regulated industry experience.
- Experience with GRC tooling and evidence management.
- Experience supporting AI, data, or technology committees and governance forums.
Other
Languages
- English: C1 Advanced
Seniority
- Lead
LOCATION
Wilmington, US, Delaware, United States of America
Req. VR-124257
Enterprise Architecture
BCM Industry
29/07/2026
Req. VR-124257
AI Engineer Job Roles in Delaware
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Search AI Engineer Jobs in DelawareAI Engineer Jobs in Delaware: Frequently Asked Questions
Which companies in Delaware sponsor visas for AI engineers?
Financial institutions and life sciences companies are the most active sponsors in Delaware. JPMorgan Chase and Barclays have significant Wilmington operations with AI and data science teams that have filed H-1B visa petitions. DuPont and AstraZeneca sponsor for applied AI roles tied to materials science and pharmaceutical research. Smaller fintech firms in Wilmington's banking corridor also hire AI engineers with sponsorship support.
Which visa types are most common for AI engineer roles in Delaware?
The H-1B is the most common visa for AI engineers in Delaware, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates with advanced degrees may also see EB-2 pathways pursued by larger employers. Australians may find E-3 visa options with Delaware-based multinationals that are familiar with that category.
How to find ai engineer visa sponsorship jobs in Delaware?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for AI engineer roles in Delaware without sifting through positions that don't support work visa candidates. You can filter by state and role type to surface openings at Delaware-based employers in finance, life sciences, and tech. Migrate Mate is built for international candidates navigating the U.S. job market.
Which cities in Delaware have the most AI engineer sponsorship jobs?
Wilmington is by far Delaware's primary hub for AI engineering roles, driven by its concentration of financial services headquarters and regional offices. Newark, home to the University of Delaware, has emerging opportunities tied to research commercialization and university-affiliated startups. Dover sees fewer AI engineering postings but occasionally has state government or defense-adjacent technology roles with sponsorship potential.
Are there any state-specific considerations for AI engineers seeking sponsorship in Delaware?
Delaware's financial services dominance means many AI engineering roles focus on fraud detection, risk modeling, and regulatory compliance rather than consumer-facing AI products. Employers here tend to value domain knowledge in finance or life sciences alongside core ML skills. The University of Delaware's pipeline in data science and AI research also feeds local hiring, so candidates with academic or research backgrounds may find additional traction with Delaware employers.
What is the prevailing wage for sponsored ai engineer jobs in Delaware?
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.