Role OverviewAs a Technical Analyst, AI Solutions, AVP at Morgan Stanley, you will lead the delivery of Generative AI and AI-enabled solutions for Morgan Stanley at Work. You will partner with business stakeholders to gather requirements and translate them into technical solutions. You will design, develop, and enhance AI applications, APIs, integrations, and workflow automation tools. You will support GenAI use cases using LLMs, enterprise search, RAG, vector databases, and AI platforms. You will manage end-to-end project delivery, including planning, execution, testing, release, and production support. You will ensure solutions meet governance, security, privacy, compliance, and Responsible AI standards. You will monitor solution performance, define KPIs, and continuously improve user adoption and business outcomes. You will collaborate with technology, product, risk, compliance, and business teams across the organization.
What You Will Do
Your day-to-day responsibilities will include leading the delivery of Generative AI and AI-enabled solutions, partnering with business stakeholders, designing and developing AI applications, and managing end-to-end project delivery.
Why It Might Be a Fit
We are looking for people who are problem solvers, empathetic listeners, team players, and inclusive leaders. You will be part of a team that values differences and is committed to providing a work environment where our people can do their best work.
Requirements
- 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
Benefits
- Comprehensive employee benefits and perks in the industry
- Ample opportunity to move about the business for those who show passion and grit in their work
- Expected base pay rates for the role will be between $85,000 to $120,000 per year at the commencement of employment
- Commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs
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