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# Technical Analyst, AI Solutions, AVP

- **Company:** Morgan Stanley
- **Location:** Alpharetta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Continuous Integration, Data Integration, Extract Transform Load (ETL), Relational Databases, DevOps, Python (Programming Language), Systems Development Life Cycle, Power BI, Software Engineering, SQL Databases, Systems Integration, Tableau (Software), Enterprise Search, Flask (Web Framework), Large Language Models, Snowflake, Generative AI, Fastapi, Containerization, AI Platforms, Kubernetes, Information Technology, Performance Monitor, Machine Learning Operations, Dataiku, Software Version Control
- **Published:** August 8, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/technical-analyst-ai-solutions-avp-alpharetta-ga-usa-58846527

## About the Role

_ Ensure solutions meet governance, security, privacy, and Responsible AI standards * Monitor performance, define KPIs, and improve user adoption and business outcomes * Collaborate with technology, product, risk, compliance, and business teams across the organization Tasks * 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 * 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, CI/CD, and source control tools * Understanding of security, data privacy, governance, risk, and compliance requirements * Excellent communication and stakeholder management across technical and non-technical audiences S
_ Bachelor's degree (or equivalent) in Computer Science, Engineering, Business, Finance, or a related field; financial services experience preferred * preferred qualifications: Kubernetes, FastAPI/Flask, LangChain, LangGraph, RAG, vector databases, enterprise search * preferred qualifications: Azure, Snowflake, Tableau, Power BI, Dataiku or similar analytics platforms * preferred qualifications: AI governance, LLMOps, automation/RPA, cloud-native technologies Key requirements *

## Description

Experteer Overview In this role, you will lead the delivery of Generative AI and AI-enabled solutions for Morgan Stanley at Work, partnering with stakeholders to translate needs into technical outcomes. You will design and enhance AI applications, APIs, and automation, while ensuring governance and security standards. You'll manage end-to-end delivery with agile practices and collaborate across technology, product, risk, compliance, and business teams to drive measurable outcomes. Compensation / Benefits * Lead end-to-end delivery of Generative AI and AI-enabled solutions * Gather requirements from business stakeholders and translate into technical specifications * Design, develop, and enhance AI apps, APIs, and workflow automation tools * Support GenAI use cases with LLMs, RAG, vector databases, and AI platforms * Oversee project planning, execution, testing, releases, and production support * Drive Agile practices, backlog management, and coordination of onshore/offshore resources * Ensure solutions meet governance, security, privacy, and Responsible AI standards * Monitor performance, define KPIs, and improve user adoption and business outcomes * Collaborate with technology, product, risk, compliance, and business teams across the organization Tasks * 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 * 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, CI/CD, and source control tools * Understanding of security, data privacy, governance, risk, and compliance requirements * Excellent communication and stakeholder management across technical and non-technical audiences * Bachelor's degree (or equivalent) in Computer Science, Engineering, Business, Finance, or a related field; financial services experience preferred * preferred qualifications: Kubernetes, FastAPI/Flask, LangChain, LangGraph, RAG, vector databases, enterprise search * preferred qualifications: Azure, Snowflake, Tableau, Power BI, Dataiku or similar analytics platforms * preferred qualifications: AI governance, LLMOps, automation/RPA, cloud-native technologies Key requirements *


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