Applied AI Operations Lead — Automation & Risk Tools

Millennium; New York (NY); On-site; USD 160,000 - 250,000; Full time

Job summary

Millennium is seeking an experienced data science/AI leader to drive agentic AI workflow design and productionizing AI solutions for cross-functional teams in New York. You will own end-to-end delivery, from discovery to deployment, collaborating with Operations, Risk, Finance, and Enterprise AI.

Strong Python, SQL, and API skills are essential, with a track record of delivering AI into live production. You will guide platform standards, governance, and change management while building robust

Qualifications

• 8+ years of experience in data science, ML, or automation with hands-on engineering
• Direct experience building with generative AI and LLMs in production environments
• Strong Python (pandas/NumPy) and SQL skills, API development and databases familiarity

Responsibilities

• Partner with Operations, Middle Office, Finance, and Risk Ops to map workflows and identify AI value
• Own end-to-end delivery across multiple projects from discovery to deployment and impact
• Present roadmaps and progress to senior stakeholders
• Design and develop agentic AI workflows and AI-enabled tools, including LLMs and ML models
• Collaborate with Enterprise AI to align platforms, tooling, and governance
• Advise business teams on AI applications and drive adoption
• Build data pipelines and transformations using SQL, Python, REST APIs
• Deliver production-ready solutions with controls and oversight

Skills

Python

SQL

Data science

Machine learning

AI workflows

Project management

Communication

Tools

LLM APIs

retrieval-augmented generation

agent frameworks

tool orchestration

pandas

NumPy

API development

Databases

Job description

Millennium is seeking an experienced data science/AI leader to drive agentic AI workflow design and productionizing AI solutions for cross-functional teams in New York. You will own end-to-end delivery, from discovery to deployment, collaborating with Operations, Risk, Finance, and Enterprise AI.

Strong Python, SQL, and API skills are essential, with a track record of delivering AI into live production. You will guide platform standards, governance, and change management while building robust