Generative AI & Machine Learning Engineer

This is a Generative AI & Machine Learning Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. The team is a globally distributed but close-knit team based in NY, LN, Mumbai, Bengaluru, and Pune. We follow Agile development practices to deliver high quality solutions that delight our customers.

What You Will Do

Lead the end-to-end design, development, and delivery of enterprise AI and machine learning solutions from concept through production deployment. Architect scalable, secure, and resilient AI platforms leveraging LLMs, Retrieval-Augmented Generation (RAG), intelligent agents, and modern machine learning techniques.

Why It Might Be a Fit

10+ years of AI/ML and software engineering experience, with a proven track record of designing, developing, and delivering production-grade AI solutions in enterprise environments. Strong hands-on experience developing production-grade AI and machine learning applications. Deep experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and agent-based architectures.

Requirements

• 10+ years of AI/ML and software engineering experience
• Proven track record of designing, developing, and delivering production-grade AI solutions in enterprise environments
• Strong hands-on experience developing production-grade AI and machine learning applications
• Deep experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and agent-based architectures
• Strong programming skills in Python, with experience in Java or another enterprise programming language preferred
• Experience developing distributed systems using microservices, REST APIs, containerization, and cloud-native architectures
• Experience deploying AI applications using modern MLOps and DevOps practices
• Strong understanding of software engineering fundamentals including system design, scalability, resiliency, testing, and performance optimization
• Excellent communication skills with the ability to lead technical discussions across engineering and business teams
• Experience working in Agile software development environments
• Experience with OpenAI, Azure OpenAI, LangChain, LangGraph, or similar AI frameworks
• Experience with vector databases and Retrieval-Augmented Generation (RAG) architectures
• Experience building AI copilots, workflow automation, or agentic AI applications

Benefits

• Competitive base pay rates between $155,000 and $215,000 per year
• Commission earnings
• Incentive compensation
• Discretionary bonuses
• Other short and long-term incentive packages
• Morgan Stanley sponsored benefit programs
• Comprehensive employee benefits and perks