Technical Analyst, AI Solutions, AVP

Introducing Morgan Stanley at Work:

We know a lot about investing and are certain there’s no better investment a company can make than in its employees. People don’t just drive a company; they are the company. So, when people work at their best, companies do too. Morgan Stanley at Work, a division of Morgan Stanley Wealth Management, provides workplace financial solutions that build employee financial confidence, foster loyalty and help our corporate clients attract and retain top talent.

Morgan Stanley at Work, a division of Morgan Stanley Wealth Management, provides workplace financial solutions that build employee financial confidence, foster loyalty and help our corporate clients attract and retain top talent. Our end-to-end offerings span Equity, Financial Wellness and Retirement Solutions. Plus, we provide all employees with Financial Empowerment, so they have the knowledge, tools and support needed to make the most of their workplace financial benefits.

At Morgan Stanley at Work, we walk-the-talk. We have created a place for our employees to learn, achieve and grow – a place for people to build a career where you can thrive both personally and professionally. We are passionate about exceeding our clients’ expectations and helping them succeed. We are fearless in taking on new challenges that deliver exceptional results.

We believe amazing things can happen when we work together in an environment where everybody has a true sense of belonging and their ideas are heard.

We value differences and are committed to providing a work environment where our people can do their best work. We are looking for people who are problem solvers, empathetic listeners, team players and inclusive leaders. We are committed to your growth and development, and your entire employee experience. We recognize that our people and culture are the keys to our success.

We invite you to explore how you can be an integral part of our team.

• 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.

• 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, Dev Ops 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.

• Experience with Kubernetes, FastAPI/Flask, Lang Chain, Lang Graph, RAG, vector databases, and enterprise search.
• Knowledge of Azure, Snowflake, Tableau, Power BI, Dataiku, or similar analytics platforms.
• Experience in financial…