AI Engineering Manager
Unison Systems Inc.
AI Engineering Manager Location - Onsite in Denver, CO | 5 days/week (~85 MST) Reports to - Director / VP level Contract Term - through year-end to start. Unison Systems client is seeking an experienced AI Engineering Manager to lead enterprise?scale delivery of LLM and applied machine learning solutions in a highly visible, business?critical environment. This role is for a senior technical leader who pairs deep hands?on LLM expertise with strong people leadership and the ability to translate complex AI concepts into clear, actionable strategies for senior executives. This is an end?to?end ownership role. You will set technical direction, build and mentor a high?performing AI organization, and drive AI/ML products from concept through production. Success in this role requires enterprise judgmentbalancing experimentation with discipline, innovation with reliabilityand ensuring AI investments deliver measurable business value at Fortune?100?scale. What Were Looking For
- 8+ years of people management experience leading technical teams (ML, data science, data engineering, or software engineering).
- 8+ years of applied ML / data science experience in industry (not purely research).
- 4+ years of hands?on LLM experience , including:
- Fine?tuning or domain adaptation
- RAG architectures and vector search
- Prompt engineering and evaluation
- Agentic or tool?using AI systems
- Fine?tuning or domain adaptation
- Proven track record of delivering AI/ML systems into production in complex, real?world environments.
- Experience deploying products at Fortune 100 or equivalent enterprise scale .
- Exceptional written and verbal communication skills with demonstrated success influencing executives.
- Strong Agile leadership, program management skills, and comfort operating in ambiguity.
- Business?focused mindsetable to frame AI decisions in terms of outcomes, ROI, and risk.
- Advanced degree (Masters or PhD) in Computer Science, AI/ML, Statistics, or related field.
- Experience building or leading AI capabilities in large, regulated, or highly complex enterprises .
- Hands?on experience with modern AI/ML stacks (Python, PyTorch/TensorFlow, vector databases, MLOps frameworks, cloud AI services).
- Prior ownership of an AI/ML product portfolio from strategy through scaled rollout .
Vacancy posted 26 days ago
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