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AI Lead / Architect in Greenwood Village, CO (Onsite)

TalentBridgeGreenwood Village, CO🇺🇸United StatesPosted 14 Jul 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Job Title: Lead AI Engineer/Architect
Location: Green wood village, CO (Onsite)
Duration: 6-Month Contract (Strong Possibility of Extension or Conversion)
Start Date: ASAP
Hours: 40 Hours/Week

 
Onsite Interview Required for final round.
 
Job Summary
We are looking for a highly experienced AI Solutions Architect with a strong technical background in AI/ML and enterprise architecture. This is a 100% onsite role in Denver, CO, and candidates must be willing to travel onsite for the interview as well as work onsite after joining.
Required Experience

  • 8+ years of experience in Solution Architecture, Software Engineering, or AI Engineering
  • Hands-on experience designing, developing, and deploying AI/ML solutions in production environments
  • Strong expertise in:
    • Machine Learning
    • Deep Learning
    • Natural Language Processing (NLP)
    • Large Language Models (LLMs)
    • End-to-end AI model development and deployment
  • Experience designing scalable, distributed systems and microservices architectures
  • Strong cloud expertise with Azure, AWS, and/or Google Cloud Platform
  • Experience with DevOps, CI/CD, Infrastructure as Code, and MLOps
  • Knowledge of AI platform architecture, model deployment, monitoring, and lifecycle management
  • Strong understanding of security best practices, compliance, and enterprise architecture
What We''re Looking For
  • A highly technical, hands-on AI expert who has built and delivered production AI solutions—not someone with only prompt engineering or ChatGPT experience.
  • Ability to design enterprise-scale AI architectures focused on scalability, performance, and cost optimization.
  • Strong technical leadership skills with the ability to guide engineering teams and drive architecture decisions.
  • Excellent communication skills with experience presenting technical solutions to executive leadership and business stakeholders.
  • Formal people management experience is not required; Technical Leads, Principal Engineers, AI Architects, and Senior AI Engineers with proven leadership experience are encouraged to apply.
Preferred Qualifications
  • Experience with MLOps tools and AI platform lifecycle management
  • Relevant cloud certifications (Azure Solutions Architect Expert, AWS Solutions Architect, or Google Cloud Professional Cloud Architect)
  • Bachelor''s degree in Computer Science, Engineering, or a related field (Master''s preferred)
 
Important Notes:
  • 100% Onsite in Denver, CO
  • Candidates must be available to attend an onsite interview in Denver.
  • Long-term contract opportunity
  • Looking for an expert-level technical professional with excellent communication skills who can confidently work with senior leadership, business stakeholders, and engineering teams while leading enterprise AI initiatives.

Skills

Microservices
AWS
MLOps
Machine Learning
NLP
Azure
Compliance
Deep Learning
Google Cloud

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