Quantix
Quantix

2 Quantix Ai Programmer Jobs Hiring Near You

This role is responsible for building and leading a team of AI engineers and automation developers delivering machine learning, generative AI, multi-agent systems, and intelligent automation ...

AI Ops Engineer LOCATION: Remote TYPE: Contract LENGTH: Through the end of 2026 + extensions RATE: Up to $88.50/hr W2 Prefer local Denver but open to interview outside Denver. Hybrid will be 3 days a ...

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Quantix is a reputable company in the industry, known for its commitment to delivering cutting-edge solutions and innovative products. The company's work environment is characterized by a collaborative atmosphere, where employees can engage in open communication, share ideas, and work together to drive progress. Joining Quantix offers opportunities for professional growth, skill development, and making a meaningful impact in the industry, making it an attractive place to work for those seeking a challenging and rewarding career.
What other companies are hiring for Ai Programmer jobs?
Infographic showing various Ai Programmer job openings at Quantix in the United States as of August 2026, with employment types broken down into 83% Full Time, 2% Part Time, 11% Temporary, 3% Contract, and 1% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

Director of AI/ML

Quantix

Temecula, CA • Hybrid

Full-time

Re-posted 12 days ago


Job description

Title:  Director of AI/ML, hands-on
Location:  Flower Mound, TX, Hybrid 2 days onsite (will not go in every week, just need to be willing)
Type:  Direct Hire
Salary:  220 – 240K
Position Summary
The Director of AI/ML leads the strategy, architecture, and delivery of enterprise artificial intelligence and robotic process automation (RPA) capabilities across the organization’s data platform. This role is responsible for building and leading a team of AI engineers and automation developers delivering machine learning, generative AI, multi-agent systems, and intelligent automation solutions. The Director partners closely with Data Engineering, Reporting, and business teams to operationalize AI and automation capabilities using Databricks and Microsoft technologies. This role ensures solutions are scalable, secure, and governed while delivering measurable operational efficiency and business value.
Manager needs someone that can roll up their sleeves and do the hands-on work.  He will be a team of one initially with approval to add two to the team.  It's going to be a new function on the team so think a bit of start-up mode. 
Required Education:
Bachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or four (4) years relevant experience in lieu of degree.
Required Experience:
Management wants someone with strong Databricks (but does not have to develop in it).

  • At least 10 years of experience in artificial intelligence, machine learning, automation, or related technical roles, including 5 years of leadership experience managing technical teams
  • Experience leading AI and automation initiatives using modern platforms such as Databricks, Microsoft Copilot, and Microsoft Power Automate(is strongly preferred).
  • Strong leadership and team management capabilities.
  • Expertise designing enterprise AI architectures and machine learning platforms.
  • Experience implementing generative AI and agent-based systems.
  • Experience with Databricks AI capabilities including MLflow and model serving.
  • Experience integrating AI capabilities with Microsoft Copilot platforms.
 
Preferred Skills:
  • Experience implementing robotic process automation using Microsoft Power Automate.
  • Experience with conversational AI platforms such as Databricks Genie.
  • Experience implementing multi-agent orchestration frameworks.
  • Experience integrating AI and automation systems with enterprise applications such as ERP, CRM, or logistics platforms
  • Experience with AI-based video or image processing technologies.
  • At least 12–15 years of progressive experience in AI engineering, machine learning engineering, intelligent automation, or enterprise data platform development.