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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Analyst, AI Solutions, AVP - **Company:** Morgan Stanley - **Location:** Alpharetta, GA, United States - **Experience:** Expert - **Salary:** $85,000.0 - $120,000.0 - **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, Machine Learning Operations, Dataiku, Software Version Control - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fa34ba1d9c7ba529 ## About the Role * 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 preferred. Preferred 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. ## Description * Lead the delivery of Generative AI and AI-enabled solutions for Morgan Stanley at Work. * Partner with business stakeholders to gather requirements and translate them into technical solutions. * Design, develop, and enhance AI applications, APIs, integrations, and workflow automation tools. * Support GenAI use cases using LLMs, enterprise search, RAG, vector databases, and AI platforms. * Manage end-to-end project delivery, including planning, execution, testing, release, and production support. * Drive Agile development practices, backlog management, and coordination of onshore/offshore resources. * Ensure solutions meet governance, security, privacy, compliance, and Responsible AI standards. * 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. ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)