AI Engineer

Millennium Management; New York (NY); On-site; USD 175,000 - 250,000; Full time

Job summary

Millennium is seeking an AI Engineer to build and deploy production-grade GenAI solutions and shape AI-first systems across multiple platforms. You will work with product managers, data engineers, and business stakeholders to translate needs into scalable AI solutions and robust data pipelines.

Expect to design evaluation frameworks, contribute to data pipelines, and ensure reliability with strong code quality and documentation.

Qualifications

• 5+ years of data engineering experience, including 1–2 years in AI.
• Production-grade GenAI solutions at enterprise scale with MCPs, agent architectures, and RAG; GraphRAG exposure is a plus.
• Strong hands-on experience with Python, AWS, Bedrock, LLMs, RAG, and agentic AI.
• Familiarity with agent orchestration frameworks such as LangGraph or Pydantic.
• Understanding of LLMs, RAG, prompt engineering, and modern AI-powered user experiences.
• Ability to design, optimize, and evolve large-scale AI platforms with robust documentation.

Responsibilities

• Build, test, and deploy production-grade AI solutions using generative AI approaches, including LLMs, RAG, fine-tuning, and agentic workflows.
• Redesign how business development activity is modeled, processed, and reported across the firm.
• Shape AI-first systems architecture across platforms to support business development and incentive workflows.
• Design evaluation frameworks to measure solution quality, robustness, and business impact.
• Collaborate with product managers, data engineers, and stakeholders to translate needs into scalable AI solutions.
• Contribute to real-time and batch data pipelines with monitoring, logging, metrics, and guardrails.
• Work across regions to understand business workflows and unstructured data for effective AI solutions.
• Perform data cleansing, engineering, and pipeline development to ensure reliability and scalability.

Skills

Python

AWS

Bedrock

LLMs

RAG

Agentic AI

LangGraph

Pydantic

Education

Bachelor’s degree in Computer Science or related field

Tools

LangGraph

Pydantic

Job description

The AI Engineer at Millennium Management focuses on building and deploying production-grade GenAI solutions and shaping AI-first systems across multiple platforms. The role works closely with product managers, data engineers, and business stakeholders to translate needs into scalable, production-ready AI solutions and robust data pipelines.

Responsibilities

• Build, test, and deploy production-grade AI solutions using generative AI approaches, including LLMs, RAG, fine-tuning, prompt optimization, and agentic workflows
• Help redesign how business development activity is modeled, processed, controlled, and reported across the firm
• Shape AI-first systems architecture across multiple platforms that support business development and incentive workflows
• Design and implement evaluation frameworks to measure solution quality, robustness, reliability, and business impact
• Partner closely with product managers, data engineers, and business stakeholders to translate business needs into scalable, production-ready solutions
• Contribute to real-time and batch data pipelines, while supporting monitoring, logging, metrics, guardrails, and human-in-the-loop review processes
• Work across regions and departments to understand business workflows, contractual documents, and unstructured data in order to design effective AI solutions
• Perform data cleansing, data engineering, and pipeline development needed to make AI solutions reliable, scalable, and production-ready

Requirements

• 5+ years of data engineering experience, including 1 to 2 years of hands-on AI experience
• Experience building production-grade GenAI solutions at enterprise scale, including work with MCPs, agent architectures, and RAG; exposure to GraphRAG is a plus
• Strong hands-on experience with Python, AWS, Bedrock, LLMs, RAG, and agentic AI
• Familiarity with agent orchestration frameworks such as LangGraph, Pydantic, or similar tools is highly desirable
• Experience evolving traditional RAG architectures into more advanced agentic AI workflows
• Strong understanding of LLMs, RAG, prompt engineering, conversational AI platforms, and modern AI-powered user experiences
• Ability to design, optimize, and evolve large-scale conversational AI platforms with strong standards for code quality, documentation, and maintainability
• Bachelor’s degree in Computer Science or a related field

Technologies

• Python
• AWS
• Bedrock
• LLMs
• RAG
• LangGraph
• Pydantic

About Millennium

Millennium is a global, diversified alternative investment firm founded in 1989. The firm is defined by evolution, innovation, and a focus on delivering results for investors.

Employees are empowered with independence and support: the autonomy to pursue ideas with conviction, backed by a global network committed to collaboration, disciplined risk management, and continuous learning. Millennium offers opportunities to deepen expertise and accelerate development, with talent equipped to adapt, evolve, and build lasting impact over time.

Meet the Team

Millennium's Information Technology organization builds flexible, scalable platforms and advanced proprietary systems that support the firm's active, multi-manager model. Within this organization, the Business Development and Compensation Technology team supports platforms at the center of the firm's business development and incentive operating model, partnering across functions to deliver scalable, well-controlled systems.

Salary

The base salary range for this position is $175,000 to $250,000 per year, applicable to New York. Millennium offers a total compensation package that includes base pay, a discretionary performance bonus, and comprehensive benefits. Final offers reflect the candidate’s experience and qualifications to determine a competitive total package.