Senior Agentic AI Developer - Enterprise GenAI & Security

Morgan Stanley; Baltimore (MD); On-site; USD 140,000 - 195,000; Full time

Benefits offered by this job

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)”

10 Paid Holidays

401(k)

Short/Long Term Disability

Job summary

Morgan Stanley’s Technology division seeks an Agentic AI Developer to design, build and support 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.

Qualifications

• 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.
• Awareness of retrieval augmented generation, vector search, agentic AI patterns or AI orchestration frameworks is an advantage.
• 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, 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.

Skills

Python

LLMs

Generative AI

APIs

Data integration

SDLC

Secure development

Education

Bachelor's degree in Computer Science / Software Engineering / Data Science or related field

Job description

Morgan Stanley’s Technology division seeks an Agentic AI Developer to design, build and support 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.