Cyber Security AI Engineer - Director
Morgan StanleyCyber Security AI Engineer - Director
Morgan StanleyLocation
Baltimore, MD
Type
Full-time
Posted
8/29/2026
Compensation
$85,000 - $150,000 per year
Job description
The AI Developer role at Morgan Stanley focuses on designing, building, and supporting AI-enabled solutions across various enterprise technology use cases. This position combines software engineering, Generative AI development, and data integration while ensuring responsible AI delivery. The successful candidate will collaborate with multiple stakeholders to create maintainable solutions that enhance productivity and decision-making. The role is part of a Cyber Security Operations team at the Director level, emphasizing the importance of security in AI applications.
Requirements
- Bachelor degree in Computer Science, Software Engineering, Data Science or a related field, or equivalent practical experience.
- Experience in software development, preferably with Python and one or more additional languages.
- Understanding of software engineering best practices, SDLC processes, source control, automated testing and code review standards.
- Working knowledge of Large Language Models, Generative AI concepts, prompt engineering and AI-assisted development tools.
- Experience building or integrating APIs, backend services, data pipelines or enterprise applications.
- Understanding of secure development, data handling, privacy, risk and governance considerations for enterprise AI solutions.
Responsibilities
- Design, develop and support AI-powered applications, agents and workflow automations using approved Firm platforms and services.
- Build Generative AI solutions using LLMs, prompt design, retrieval-based patterns and enterprise data sources.
- Develop Python services, APIs, integrations and reusable components to support AI use cases.
- Participate in the full Software Delivery Lifecycle, including design, coding, testing, deployment, documentation and support.
- Collaborate with stakeholders across Technology, data, security, platform and business teams to understand requirements and deliver fit-for-purpose solutions.
- Evaluate AI outputs and contribute to improvements in quality, reliability, usability and operational performance.
- Support secure engineering practices, governance reviews, monitoring, risk controls and operational readiness for AI-enabled applications.
- Identify opportunities to use AI responsibly to simplify processes, automate repeatable activity and improve developer or user productivity.
Benefits
- Morgan Stanley offers extensive benefits that support employees’ careers, health, finances, and families, including top-tier medical coverage, mental health support, generous parental leave, fertility and family-building benefits, and robust retirement and stock purchase plans. Employees also gain access to continuous learning and networking opportunities, volunteer and giving programs aligned with the firm’s values, and hundreds of lifestyle perks like discounted products, cultural and entertainment tickets, and commuter savings.
H-1B filing history
Public USCIS petition and DOL LCA counts · latest USCIS FY2026, LCA FY2026
Filing entity: Morgan Stanley Services Group Inc
As of Aug 23, 2026
Initial approvals
104
FY2026
Approval rate
99.1%
FY2026
LCA certified
765
FY2026
Entry-level share
0.0%
FY2026
Initial approvals YoY
-23%
Trend
LCA certified YoY
+6%
Trend
Initial approvals by fiscal year
Approval rate by fiscal year
Continuing vs initial approvals
LCA certified positions by quarter
LCA certified positions by fiscal year
Based on public USCIS and DOL filings; not a sponsorship guarantee.
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