Senior AI Engineer: Lead Production Agents & AI Governance

Amalgamated Bank Of Ny; New York (NY); Hybrid; USD 170,000 - 200,000; Full time

Job summary

Amalgamated Bank Of Ny is seeking an experienced Senior AI Engineer to lead hands-on development of governed AI agents on Databricks. You will translate business needs into scalable AI capabilities, balancing risk, cost, and performance within a regulated banking context.

You will drive architecture, implement retrieval-augmented generation and multi-agent patterns, and collaborate with security, governance, and data teams to deliver measurable business value.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; or equivalent experience.
• 7+ years of software, data, or ML engineering experience, with 2+ years delivering LLM/agent-based production solutions.
• Experience delivering agentic capabilities in regulated financial services.
• Strong Python and SQL with production Databricks, Spark, Delta Lake, Unity Catalog experience.
• Designing and evaluating prompt/context, token usage, and cost/performance trade-offs.

Responsibilities

• Lead hands-on engineering of agents and LLM apps on Databricks; shape AI architecture.
• Build, test, deploy, and operate production agents including RAG, tool-calling, multi-agent and human-in-the-loop patterns.
• Develop MCP clients/servers, custom tools, and secure tool APIs; establish reusable tool discovery patterns.
• Guide model selection, evaluation design, and optimization for quality, latency, reliability, and cost.
• Collaborate with security, governance, data stewards, and BI to ensure observability and compliance.

Job description

Amalgamated Bank Of Ny is seeking an experienced Senior AI Engineer to lead hands-on development of governed AI agents on Databricks. You will translate business needs into scalable AI capabilities, balancing risk, cost, and performance within a regulated banking context.

You will drive architecture, implement retrieval-augmented generation and multi-agent patterns, and collaborate with security, governance, and data teams to deliver measurable business value.