AI Integration Software Engineer - Associate

Morgan-Stanley; Town of Islip (NY); On-site; USD 81,000 - 135,000; Full time

Job summary

Morgan Stanley is seeking an Associate-level Data & Analytics Engineer to design and deploy GenAI and data analytics solutions, including DaiZy, across enterprise AI platforms. You will build scalable Python backends, REST APIs, and microservices, collaborating with cross-functional teams and clients to deliver data-driven insights.

The role emphasizes hands-on Snowflake experience, LLM integrations, and robust testing practices in a consulting environment.

Qualifications

• 3–5 years of software development or consulting experience.
• Strong Python proficiency with FastAPI, Flask, or Django.
• Experience with Git workflows, CI/CD, and automated testing.
• Hands-on Snowflake experience (data migration, querying, app integration).
• Proficiency integrating LLMs via hosted model APIs or enterprise AI platforms.

Responsibilities

• Design, build, and maintain backend services, REST APIs, and integrations using Python.
• Build distributed services in a microservices architecture with token-based auth and role-based access controls.
• Integrate internal apps with third-party systems, external APIs, and Snowflake.
• Develop LLM-powered features: model APIs, prompt workflows, structured outputs, and retrieval-based (RAG) apps.
• Write clean, modular, secure code with unit, integration, and automated tests.
• Collaborate with architects, engineers, data teams, product owners, and clients; translate requirements into implementation plans and clear technical documentation.

Skills

Python

REST APIs

Snowflake

Git workflows

CI/CD

LLMs

Microservices

Tools

FastAPI

Flask

Django

Node.js/TypeScript

Job description

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Data & Analytics Engineering position at the Associate level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.Role OverviewThis role is to build out the ISG GenAI & Data Analytics strategy, specifically working on the Chat With Your Data solution (DaiZy), integrating with Enterprise AI solutions and preparing datasets for GenAI usage. Candidates are expected to have hands-on data platform and LLM experience to design, build, and deploy scalable services and integrations for business-critical applications. Strong Python skills, production-ready coding standards, and effective collaboration in a client-facing consulting environment.What you'll do in the role:Design, build, and maintain backend services, REST APIs, and integrations using Python (FastAPI, Flask, or Django); some Node.js/TypeScript as needed.Build distributed services in a microservices architecture with token-based auth and role-based access controls.Integrate internal apps with third-party systems, external APIs, and Snowflake (data access, transformation, integration).Develop LLM-powered features: model APIs, prompt workflows, structured outputs, and retrieval-based (RAG) applications.Write clean, modular, secure code with unit, integration, and automated tests.Participate in code reviews, Git workflows, and CI/CD pipelines.Troubleshoot application, integration, data, and production issues.Collaborate with architects, engineers, data teams, product owners, and clients; translate requirements into implementation plans and clear technical documentation.What you'll bring to the role:3–5 years of software development or consulting experience.Strong Python proficiency with at least one framework (FastAPI, Flask, or Django); working knowledge of Node.js/TypeScript.Solid grasp of REST API design, microservices, auth, and service-to-service integration.Experience with Git workflows, CI/CD, and automated testing.Hands-on Snowflake experience (data migration, querying and app integration).Proficiency integrating LLMs via hosted model APIs or enterprise AI platforms.Strong debugging, communication, and problem-solving skills; able to work independently and within multidisciplinary teams.Finance business understandingWHAT 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.Expected base pay rates for the role will be between $95,000 and $135,000 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 .