Technical Analyst, AI Solutions, AVP

Jobtailor; Alpharetta, New York (GA, NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Morgan Stanley at Work is seeking a seasoned software professional to lead the delivery of Generative AI and AI-enabled solutions. You will partner with business stakeholders to gather requirements and translate them into scalable technical solutions across enterprise systems.

In this role, you will design, develop, and deploy AI applications, APIs, and automated workflows, while ensuring governance, security, and compliance.

Qualifications

• 6+ years of software development, analysis, or data integration.
• Experience with Generative AI and AI automation.
• Strong requirements gathering and business analysis.
• Proficient in SQL, data modeling, ETL, and relational databases.
• Proficient in Python; APIs and system integrations.
• Familiar with Agile, SDLC, DevOps, CI/CD, and source control.
• Understanding of security, privacy, governance, risk, and compliance.
• Excellent communication and stakeholder management.

Responsibilities

• 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.

Skills

Software development

Generative AI

Requirements gathering

SQL & data modeling

Python & APIs

Agile & DevOps

Security & compliance

Stakeholder communication

Education

Bachelor's degree

Tools

Kubernetes

FastAPI/Flask

LangChain

LangGraph

RAG

Vector databases

Azure

Snowflake

Tableau

Power BI

Job description

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.

What you’ll be part of – our Morgan Stanley at Work culture:

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.

What You'll Do in the role:

• 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.

What you will bring to 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.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

New York only: Expected base pay rates for the role will be between $85,000 to $120,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.