AI Engineer

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

Job summary

Millennium is a global, diversified alternative investment firm seeking an experienced Data Engineer with hands-on GenAI experience to design and deploy enterprise AI solutions. You will collaborate with product managers, data engineers, and stakeholders to build scalable AI-first systems that support business development and incentive workflows.

Responsibilities include shaping architecture across platforms, implementing evaluation frameworks, and ensuring robust pipelines with monitoring and

Qualifications

• 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.

Responsibilities

• Build and deploy production-grade GenAI solutions using LLMs, RAG, prompts, 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 supporting business development and incentive workflows.
• Design and implement evaluation frameworks to measure solution quality, robustness, reliability, and business impact.
• Partner with product managers, data engineers, and stakeholders to translate needs into scalable, production-ready solutions.
• Contribute to real-time and batch data pipelines with monitoring, logging, metrics, guardrails and human-in-the-loop review.
• Work across regions and departments to understand workflows and unstructured data for AI design.
• Perform data cleansing, data engineering, and pipeline development to ensure reliability and scalability.

Skills

Data engineering

GenAI experience

AI system design

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Python

AWS

Bedrock

LLMs

RAG

agentic AI

Job description

About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.

About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
Core to the health and growth of our business, Millennium’s Information Technology organization builds the 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 that sit at the center of the firm’s business development and incentive operating model, partnering across functions to deliver scalable, well-controlled systems aligned with evolving business and reporting needs.

What You’ll Do

• 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
  

What You Bring

• 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

Salary Range
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.