Agility & Strategic Intelligence Architect, 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.

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.

• Serve as an AVP-level technical analyst/developer within the Agility & Strategic Intelligence team supporting Morgan Stanley at Work, with primary focus on Generative AI enablement, AI platform adoption, and related data/integration tooling.
• Partner with business stakeholders to gather, analyze, and document requirements, translating them into high-quality functional and technical specifications, user stories, process flows, data mappings, controls, and test scenarios.
• Support the delivery of reusable AI capabilities and platform-aligned solutions that accelerate high-value GenAI use cases across the firm.
• Design and build technical solutions based on requirements, including APIs/services, data transformation, workflow improvements, retrieval patterns, and automation enablement where appropriate.
• Support and enhance existing tool-based workflows and AI-enabled solutions, including troubleshooting, coordinating fixes across teams and vendors, and strengthening data quality and control outcomes.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Business, Finance, Sciences, or equivalent education, training, and experience.
• 6+ years of progressive experience in software development, data integration, technical analysis, and/or solution delivery, with proficiency in multiple programming languages and a strong preferred focus on Python.
• 3+ years of technical leadership experience with the ability to lead, mentor, and coordinate developers/analysts to deliver high-quality solutions.
• Strong background in requirements gathering and analysis, with the ability to produce functional requirements, user stories, acceptance criteria, technical specifications, data mapping, controls, and interface/ETL requirements.
• Ability to translate ambiguous business needs into clear deliverables and executable technical plans for developers, testers, and partner teams.
• Ability to balance functional analysis and hands‑on technical execution; able to move from requirement discovery to build and delivery.
• Proficiency in at least one mainstream programming language such as Python, Java, or C++;
  Python preferred.
• Experience building or supporting AI applications, preferably Generative AI and LLM-based applications, including practical familiarity with AI APIs, embeddings, prompt/strategy management, and AI-driven…