Senior AI Engineer: Architect Scalable LLM Pipelines

Millennium; Miami (FL); On-site; USD 140,000 - 210,000; Full time

Job summary

Millennium is seeking a Senior AI Engineer to join our AI Rapid Application Development team within Corporate Technology. Design, develop, and deploy advanced AI-driven applications and solutions to support many of the Firm’s critical businesses.

You will leverage AI/ML to create efficiencies, insights, and innovations for stakeholders. Responsibilities include translating business problems into working solutions, building end-to-end pipelines for LLM-based workflows, and collaborating with

Qualifications

• Bachelor’s or master’s degree in CS/DS/ML or related field.
• 10+ years in a large-scale organization focusing on AI/ML projects.
• Proficiency in Python, REST APIs, and building ML/LLM solutions.

Responsibilities

• Understand and translate business problems into working solutions.
• Design, build and maintain end-to-end pipelines for LLM solutions based on Portfolio Manager requirements.
• Identify, design, and implement internal process improvements, including re-designing and integrating applications infrastructure with scalability and availability.
• Work with stakeholders from both the business and technology organizations to optimize product design.
• Build, test and deploy these AI products to solve Portfolio Manager workflows and generalize solutions for the AI team.
• Leverage generative AI solutions and traditional NLP techniques.

Skills

Python

REST API development

ML algorithms/LLMs

CI/CD

Vector databases

SQL databases

Interpersonal communication

Self-management

Education

Bachelor's or master's degree in Computer Science, Data Science, Machine Learning or related fields

Tools

CI/CD

Job description

Millennium is seeking a Senior AI Engineer to join our AI Rapid Application Development team within Corporate Technology. Design, develop, and deploy advanced AI-driven applications and solutions to support many of the Firm’s critical businesses.

You will leverage AI/ML to create efficiencies, insights, and innovations for stakeholders. Responsibilities include translating business problems into working solutions, building end-to-end pipelines for LLM-based workflows, and collaborating with