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Manager - AI Engineer

Job in Englewood, Arapahoe County, Colorado, 80111, USA
Listing for: Talent Bridge
Full Time position
Listed on 2026-08-06
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below

Sr. AI Engineer/ Lead

Duration:
Long Term Contract

Location:

Greenwood Village, CO

Key Responsibilities:

  • 8+ years of experience in machine learning, data science, or AI development
  • 8+ years of people management experience, with a proven ability to lead, mentor, and scale high-performing teams
  • 4+ years of hands-on experience with Large Language Models (LLMs), including fine-tuning, Retrieval-Augmented Generation (RAG), prompt engineering, and agentic frameworks
  • Demonstrated success delivering AI/ML models into production environments (industry experience required; research-only backgrounds not preferred)
  • Strong technical leadership with the ability to define and drive AI/ML strategy and vision
  • Excellent communication skills, with the ability to collaborate effectively across technical and business teams

Required Qualifications

  • Experience in call center environments or customer experience analytics
  • Telecommunications or cable industry experience
  • Familiarity with Agile methodologies
  • Front-end or interface experience (e.g., React)
  • Experience with sentiment analysis and text analytics
  • Knowledge of AI-driven automation tools and frameworks
  • Experience with AI model interpretability and explainability (XAI)
  • Understanding of data privacy and regulatory considerations related to AI

Additional Technical Expertise (Preferred):

  • Graph Analytics:
    Leveraging graph-based models to analyze relationships and complex data networks
  • Advanced Natural Language Processing (NLP):
    Building solutions for chatbots, sentiment analysis, and language translation
  • Explainable AI (XAI):
    Creating transparent and interpretable AI systems
  • Automated Machine Learning (AutoML):
    Streamlining model development through automation of feature selection, model selection, and hyperparameter tuning

Education & Experience

  • Bachelor's degree required;
    Master's or PhD preferred in a relevant field (Computer Science, Data Science, AI, or similar)
  • 8+ years of professional experience in data, analytics, AI/ML, or software development
  • At least 2 years of focused, hands-on experience in AI-specific roles
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