Agentic AI Developer, Cybersecurity

Morgan Stanley•Baltimore, MD

15h

About The Position

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is an Agentic AI Developer, Cybersecurity position at Vice President level, which is part of the job family responsible for providing specialist cyber expertise and creating solutions that protect the organization's systems and networks against actual and potential security threats and vulnerabilities. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on. We are seeking an Agentic AI Developer to design, build and support practical AI-enabled solutions across enterprise technology use cases. The role combines software engineering, GenAI development, data integration and responsible AI delivery. The successful candidate will work with engineering, data, platform, security and cyber governance stakeholders to turn requirements into maintainable solutions that improve productivity, automation and decision-making.

Requirements

Bachelor degree in Computer Science, Software Engineering, Data Science or a related field, or equivalent practical experience.
10+ years of 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.
Strong analytical thinking, attention to detail and ability to troubleshoot technical issues independently.
Ability to communicate clearly with technical and non-technical stakeholders in a globally distributed organization.

Nice To Haves

Awareness of retrieval augmented generation, vector search, agentic AI patterns or AI orchestration frameworks is an advantage.
Experience in financial services, cybersecurity, data analytics, cloud platforms or enterprise AI platforms is advantageous but not required.

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, cyber and governance 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

Medical
Prescription Drug
Dental
Vision
Health Savings Account
Dependent Day Care Savings Account
Life Insurance
Disability and Other Insurance Plans
Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually)
10 Paid Holidays
401(k)
Short/Long Term Disability