Manager AI opening at Denver, CO (Onsite)
R Systems · Denver, Colorado, United States
FULL TIME
Job Description
AI Engineering Manager
Check all associated application documentation thoroughly before clicking on the apply button at the bottom of this description.
Department : AI EngineeringLocation: Denver, CO (In-person interview required)Employment Type: Contract to HireExperience 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 ResponsibilitiesLead, manage, and grow a team of AI engineers working on production LLM, RAG, and ML/NLP systemsDefine and drive the technical vision for AI engineering — from architecture decisions to tooling choices and coding standardsOwn end-to-end delivery of AI/ML models into production: scoping, design, build, deployment, and monitoringPartner with Data Science, Data Engineering, Product, and Business stakeholders to align AI engineering work with strategic prioritiesMentor and develop engineers — conducting code reviews, knowledge-sharing sessions, and career development conversationsEstablish and enforce engineering best practices: CI/CD, MLOps, model monitoring, responsible AI, and documentationEvaluate new LLM frameworks, RAG architectures, and agentic patterns and advise on their adoptionCommunicate 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 & CommunicationStrong ability to mentor engineers and build high-performing, collaborative teamsDemonstrated ability to drive technical vision and influence across organizational boundariesExcellent communication skills — able to translate complex AI/ML concepts for both technical and business audiences
EducationBachelor's degree in Computer Science, AI, or a related technical field. xzbcwsv Master's or PhD preferred.
Check all associated application documentation thoroughly before clicking on the apply button at the bottom of this description.
Department : AI EngineeringLocation: Denver, CO (In-person interview required)Employment Type: Contract to HireExperience 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 ResponsibilitiesLead, manage, and grow a team of AI engineers working on production LLM, RAG, and ML/NLP systemsDefine and drive the technical vision for AI engineering — from architecture decisions to tooling choices and coding standardsOwn end-to-end delivery of AI/ML models into production: scoping, design, build, deployment, and monitoringPartner with Data Science, Data Engineering, Product, and Business stakeholders to align AI engineering work with strategic prioritiesMentor and develop engineers — conducting code reviews, knowledge-sharing sessions, and career development conversationsEstablish and enforce engineering best practices: CI/CD, MLOps, model monitoring, responsible AI, and documentationEvaluate new LLM frameworks, RAG architectures, and agentic patterns and advise on their adoptionCommunicate 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 & CommunicationStrong ability to mentor engineers and build high-performing, collaborative teamsDemonstrated ability to drive technical vision and influence across organizational boundariesExcellent communication skills — able to translate complex AI/ML concepts for both technical and business audiences
EducationBachelor's degree in Computer Science, AI, or a related technical field. xzbcwsv Master's or PhD preferred.
Details
| Company | R Systems |
| Location | Denver, Colorado, United States |
| Type | FULL TIME |
| Niche | general |