Python Gen AI Engineer - Associate- Software Engineering

Profile Description

We’re seeking someone to join our WM Technology team as a Python Gen AI Engineer, in Analytics Intelligence & Data Technology to build advanced and innovative AI solutions. In this role to architect, build, and operationalize AI systems that support business workflows, improve automation, and enhance client and employee experiences.oppotunity to work with multi-functional engineering, knowledge management, project management and QA teams. 

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 Associate position that develops and maintains software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you’ll do in the role:

•Hands-on experience with Generative AI models, Embedding models, RAG, NLP, Deep Learning, Data Analysis.
•Proficiency in Python (expert-level coding skills), with experience building scalable applications and automation.
•Experience with API development & integration (Flask, FastAPI etc.), particularly for AI workflow orchestration. Knowledge of SQL and NoSQL is a plus.
•2+ years of experience in designing and maintaining robust data ingestion and retrieval pipelines, with Vector DBs (Redis, ElasticSearch, Pinecone etc.). Proficiency in prompt engineering for producing high-quality LLM outputs.
•Familiarity with Agentic AI patterns and MCP with prior experience of agent frameworks – OpenAI Agents SDK / Google ADK / LangGraph etc.
•Good to have statistics knowledge, such as hypothesis testing, experimental design and evaluation of ML/LLM systems. Knowledge of AI Agent evaluation is a plus.
•Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways for leadership and peers.
•Creativity to engineer novel features and signals, and to push beyond current tools and approaches

What you’ll bring to the role:

• At least 2 years' relevant experience would generally be expected to find the skills required for this role with Bachelor's/Master's Degree in Computer Science, Information Systems or related field
• Experience of DevOps process and Containerization (Docker)
• Experience of working in Agile setup

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.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.