Role Summary

Senior AI Engineer (Production)

Full-time, direct hire

4x days a week on site in Midtown Manhattan

$150k-$200k base plus bonus & full benefits, dependent on experience

PLEASE NOTE: We cannot consider H1B candidates at this stage.

A growing commercial bank is hiring a VP-level AI/ML Engineer to help scale enterprise AI initiatives alongside the Chief AI Officer.

This is a hands-on production engineering role focused on deploying LLM and ML solutions into secure, scalable environments — not a research position.

What You’ll Do

The three main functions of the role will be 1) hands-on engineering, 2) architecture and 3) stakeholder management
Productionize AI/LLM models into enterprise systems
Build and manage MLOps/AIOps pipelines (CI/CD, monitoring, governance)
Design scalable model serving & real-time inference architecture
Deploy RAG-based LLM applications and vector search solutions
Optimize performance, reliability, and scalability
Partner with AI scientists to move prototypes into production

What You’ll Need

Strong software engineering background (Python, Snowflake/Snowpark, APIs)
Proven ML/LLM production deployment experience
Deep MLOps expertise (CI/CD, Docker, Kubernetes, cloud infrastructure)
Experience with LLM frameworks (RAG, LangChain, vector DBs)
Snowflake-native ML experience highly preferred
Financial services experience a plus

This is a senior, high-ownership role within a lean AI team where you’ll help shape enterprise AI standards from the ground up.

If you’re building real-world LLM systems — not just demos — let’s connect.

PLEASE NOTE: We cannot consider H1B candidates at this stage.

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