Manager AI opening at Denver, CO (Onsite)

R Systems; Denver (CO); On-site; USD 150,000 - 190,000; Full time

Job summary

R Systems International is seeking a Manager of AI Engineering in Denver to lead production AI/ML delivery and people leadership. The role emphasizes hands-on AI/ML work and moving solutions to scale, not just research.

You will drive technical vision, build high-performing teams, and ensure AI systems move reliably to production at scale. The position requires 8+ years of management and ML/NLP experience.

Qualifications

• Hands-on AI/ML leadership with delivery experience.
• Proven ability to lead production AI/ML systems from concept to production.
• Experience mentoring engineers and guiding technical vision.

Responsibilities

• Lead and grow a team of AI engineers delivering production AI/ML systems (LLM, RAG, ML/NLP).
• Define and drive technical vision from architecture to tooling and coding standards.
• Own end-to-end delivery of AI/ML models into production, including scoping, design, build, deployment, monitoring.
• Collaborate with Data Science, Data Engineering, Product, and Business stakeholders to align AI work with priorities.
• Mentor engineers through reviews, knowledge sharing, and career development discussions.
• Establish engineering best practices: CI/CD, MLOps, model monitoring, responsible AI, and documentation.
• Evaluate new LLM frameworks and architectures and advise adoption.
• Communicate progress, risks, and blockers to senior leadership and cross-functional partners.

Skills

AI Engineering

Machine Learning

Data Science

Team Leadership

Education

Bachelor's in CS/AI or related field

Master's or PhD preferred

Tools

CI/CD

MLOps

LLM frameworks

Job description

Location: Denver, CO (In-person interview required)

Employment Type: Contract to Hire

Experience Required: 8+ Years Management | 8+ Years ML/Data Science

Role Overview

R Systems International is looking for a Manager of AI Engineering who brings a rare combination of deep hands-on AI/ML delivery experience and demonstrated people leadership. This is not a research role — we are seeking someone who has delivered real, production-grade AI/ML systems in industry and is now ready to lead teams that do the same. You will drive technical vision, build high-performing engineering teams, and ensure AI solutions move from concept to production reliably and at scale

Key Responsibilities

• Lead, manage, and grow a team of AI engineers working on production LLM, RAG, and ML/NLP systems
• Define and drive the technical vision for AI engineering — from architecture decisions to tooling choices and coding standards
• Own end-to-end delivery of AI/ML models into production: scoping, design, build, deployment, and monitoring
• Partner with Data Science, Data Engineering, Product, and Business stakeholders to align AI engineering work with strategic priorities
• Mentor and develop engineers — conducting code reviews, knowledge-sharing sessions, and career development conversations
• Establish and enforce engineering best practices: CI/CD, MLOps, model monitoring, responsible AI, and documentation
• Evaluate new LLM frameworks, RAG architectures, and agentic patterns and advise on their adoption
• Communicate technical progress, risks, and blockers clearly to senior leadership and cross-functional partners

Required Skills:

• Hands-on AI/ML leader with strong experience in AI Engineering, Machine Learning, Data Science, or applied - No Less than 4 years in ML/NLP
• Deep expertise in machine learning, deep learning, and NLP, with experience working on text data such as call transcripts, customer interactions, or reviews - No Less than 4 years in ML/NLP
• Proven track record of building and deploying production AI solutions, ideally in real-time or agent-assist environments
• Experience leading or mentoring AI teams while remaining technically close to the work
• Strong fit should be AI/ML-first; not primarily a software engineering manager or program manager background
• Preferred experience in use cases such as auto summarization, sentiment analysis, next best offer/action, or agentic

Leadership & Communication

• Strong ability to mentor engineers and build high-performing, collaborative teams
• Demonstrated ability to drive technical vision and influence across organizational boundaries
• Excellent communication skills — able to translate complex AI/ML concepts for both technical and business audiences

Education

• Bachelor's degree in Computer Science, AI, or a related technical field. Master's or PhD preferred.