AI Manager

Denver, CO - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Manager AI Engineering ( LOCAL OR CLOSEBY AREAS TO DENVERCO) Role Overview

Lead the design development and deployment of scalable AI/ML solutions with a strong focus on real-world business applications
Drive end-to-end delivery of AI/ML models from ideation to production deployment
Define and execute the technical vision for AI engineering initiatives across the organization

Key Responsibilities

Lead and manage a team of AI/ML engineers fostering a culture of innovation collaboration and continuous learning
Architect and deploy production-grade AI/ML models and systems ensuring scalability reliability and performance
Work extensively with Large Language Models (LLMs) including fine-tuning Retrieval-Augmented Generation (RAG) prompt engineering and agentic workflows
Partner with cross-functional teams (product engineering business stakeholders) to translate business needs into AI-driven solutions
Establish best practices for model development evaluation deployment and monitoring in production environments
Mentor team members conduct code reviews and support career development
Drive adoption of modern AI/ML frameworks tools and MLOps practices
Ensure governance data quality and compliance standards are met for AI solutions
Communicate technical concepts and project updates effectively to both technical and non-technical stakeholders

Required Qualifications

From an overall experience Atleast 8 years of experience in Machine Learning / Data Science
8 years of experience in people management and team leadership
4 years of hands-on experience with LLMs (fine-tuning RAG prompt engineering agent-based systems)
Proven track record of delivering AI/ML models into production environments (not limited to research work)
Strong expertise in ML frameworks data pipelines and model deployment strategies
Demonstrated ability to build scale and mentor high-performing engineering teams
Excellent problem-solving analytical and decision-making skills
Strong verbal and written communication skills

Preferred Qualifications

Experience with MLOps tools and cloud platforms (AWS Azure or GCP)
Exposure to GenAI applications and enterprise-scale AI solutions
Background in leading AI strategy and roadmap planning

Manager AI Engineering ( LOCAL OR CLOSEBY AREAS TO DENVERCO) Role Overview Lead the design development and deployment of scalable AI/ML solutions with a strong focus on real-world business applications Drive end-to-end delivery of AI/ML models from ideation to production deployment Define ...

Manager AI Engineering ( LOCAL OR CLOSEBY AREAS TO DENVERCO) Role Overview

Lead the design development and deployment of scalable AI/ML solutions with a strong focus on real-world business applications
Drive end-to-end delivery of AI/ML models from ideation to production deployment
Define and execute the technical vision for AI engineering initiatives across the organization

Key Responsibilities

Lead and manage a team of AI/ML engineers fostering a culture of innovation collaboration and continuous learning
Architect and deploy production-grade AI/ML models and systems ensuring scalability reliability and performance
Work extensively with Large Language Models (LLMs) including fine-tuning Retrieval-Augmented Generation (RAG) prompt engineering and agentic workflows
Partner with cross-functional teams (product engineering business stakeholders) to translate business needs into AI-driven solutions
Establish best practices for model development evaluation deployment and monitoring in production environments
Mentor team members conduct code reviews and support career development
Drive adoption of modern AI/ML frameworks tools and MLOps practices
Ensure governance data quality and compliance standards are met for AI solutions
Communicate technical concepts and project updates effectively to both technical and non-technical stakeholders

Required Qualifications

From an overall experience Atleast 8 years of experience in Machine Learning / Data Science
8 years of experience in people management and team leadership
4 years of hands-on experience with LLMs (fine-tuning RAG prompt engineering agent-based systems)
Proven track record of delivering AI/ML models into production environments (not limited to research work)
Strong expertise in ML frameworks data pipelines and model deployment strategies
Demonstrated ability to build scale and mentor high-performing engineering teams
Excellent problem-solving analytical and decision-making skills
Strong verbal and written communication skills