Technical Analyst, AI Solutions, AVP
$85,000–$120,000 year
On-siteAlpharetta, Georgia, United States or Purchase, New York, United States
Job Summary
Lead the delivery of Generative AI and AI-enabled solutions for Morgan Stanley at Work by partnering with business stakeholders to gather requirements and translate them into technical solutions. Design, develop, and enhance AI applications, APIs, integrations, and workflow automation tools while supporting GenAI use cases using LLMs, enterprise search, RAG, and vector databases. Manage end-to-end project delivery, including planning, execution, testing, release, and production support, while driving Agile development practices and coordinating onshore/offshore resources. Ensure solutions meet governance, security, privacy, compliance, and Responsible AI standards, then monitor solution performance, define KPIs, and continuously improve user adoption and business outcomes. Collaborate with technology, product, risk, compliance, and business teams across the organization.
Required Qualifications
- 6+ years of experience in software development, technical analysis, solution delivery, or data integration
- Experience building or supporting Generative AI, LLM, AI automation, or intelligent workflow solutions
- Strong requirements gathering and business analysis skills, with the ability to translate business needs into technical solutions
- Experience with SQL, data modeling, ETL/data integration, and relational databases
- Proficiency in Python and experience with APIs, application development, and system integrations
- Knowledge of Agile methodologies, SDLC, DevOps practices, CI/CD, and source control tools
- Understanding of security, data privacy, governance, risk, and compliance requirements
- Excellent communication and stakeholder management skills across technical and non-technical audiences
- Bachelor's degree (or equivalent experience) in Computer Science, Engineering, Business, Finance, or a related field
- financial services experience
Desired Qualifications
- Experience with Kubernetes, FastAPI/Flask, LangChain, LangGraph, RAG, vector databases, and enterprise search
- Knowledge of Azure, Snowflake, Tableau, Power BI, Dataiku, or similar analytics platforms
- Experience in financial services
- Familiarity with AI governance, LLMOps, automation/RPA, and cloud-native technologies
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