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.
