Drimva

Morgan Stanley

Principal Software Engineer (AI Platform) - Parametric

$115K–$225K

New York, New York +2 · On-site · Principal · Full-time · Posted Sep 29, 2026

Location
New York, New York
Seattle, Washington
Minneapolis, Minnesota
Experience
10+ years of hands-on object-oriented design and development; 3+ years of hands-on Python software design and development; 3+ years managing software development teams.
Education
Bachelor’s degree in Computer Science, Machine Learning, or a related field of study; Master’s degree preferred.

About the job

Leads engineering for Parametric’s GenAI platform, building and operationalizing safe, scalable AI capabilities and solutions for business and engineering teams.

What you'll do

  • Lead and mentor engineers, set team strategy, and provide technical leadership.
  • Design, develop, and maintain platform components, GenAI applications, services, and APIs; lead projects through deployment and support.
  • Translate business needs into feasible AI solutions and establish evaluation, testing, governance, and continuous-monitoring practices.

What they ask for

  • 10+ years of hands-on object-oriented design and development experience.
  • 3+ years of hands-on Python software design and development; 3+ years managing software development teams.
  • Bachelor’s degree in Computer Science, Machine Learning, or a related field of study.
  • Experience with the AI development lifecycle, ML/NLP/transformers/LLMs, LLM APIs and frameworks, cloud solutions, RAG, and software architectures and practices described in the posting.

Nice to have

  • Master’s degree.
  • Financial services experience; platform components, Terraform, CI/CD, AI observability, or GenAI evaluation frameworks.

Pay

$115,000 - $225,000/Yr. (base salary)

Tools

Python, OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, PyTorch, AWS

AI focus

Build and lead a GenAI platform and production solutions, including prompt engineering, RAG, fine-tuning, agentic workflows, model evaluation, testing, deployment, governance, and monitoring.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)