About this opportunity
R Systems lists this Manager AI opening at Denver, CO (Onsite) (Denver) opportunity in denver, Colorado. Review the employer’s description below for duties, qualifications and application requirements.
Job description
AI Engineering Manager Department : AI Engineering
Location: Denver, CO (In-person interview required)
Employment Type: Contract to Hire
Experience Required: 8+ Years Management | 8+ Years ML/Data Scienc e
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.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.