Morgan Stanley
VP, Generative AI, Backend Engineer
$155K–$215K
New York, New York · On-site · Director · Full-time · Posted Oct 1, 2026
- Experience
- 10+ years of software engineering experience. Deep prior AI/ML expertise is not required for candidates with exceptional backend, distributed systems, and production engineering experience and interest in Generative AI.
About the job
Leads hands-on design, development, deployment, and operation of scalable backend platforms and production Generative AI applications for enterprise use.
What you'll do
- Architect and deliver secure, resilient distributed systems, backend services, APIs, and AI-enabled platforms.
- Integrate Generative AI capabilities and provide technical leadership through implementation, production support, and engineering reviews.
- Coordinate delivery with business and technology partners, mentor engineers, and ensure production readiness and engineering best practices.
What they ask for
- 10+ years of software engineering experience delivering complex production-grade enterprise systems.
- Strong hands-on software engineering and system design skills, including scalable, resilient, highly available production systems.
- Strong programming skills in Python, Java, or another enterprise programming language.
- Experience with distributed systems and modern engineering practices, including CI/CD, automated testing, security, monitoring, and operational support.
Nice to have
- Experience in Investment Banking, Capital Markets, or Financial Services technology.
- Experience with Kubernetes, Docker, GitHub Actions, Jenkins, MLflow, or cloud platforms such as Azure, AWS, or Google Cloud.
Pay
$155,000 and $215,000 per year (USD, base salary)
Tools
Python, Java, microservices, REST APIs, OpenAI, LangChain, LangGraph, Kubernetes
AI focus
Build and integrate production Generative AI applications, including LLMs, RAG, intelligent agents, and AI platforms; AI evaluation, monitoring, guardrails, MLOps, and model serving may also be involved.
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