Lead AI/ML Engineering

1 day ago

Phoenix, Arizona, United States S R INTERNATIONAL INC Full-time

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Job Title: Lead AI/ML Engineering Job Code: AZ 14357 Client: State of Arizona – Arizona Department of Economic Security (AZDES)

Location:
Phoenix, Arizona (Hybrid) Contract Duration: Long-term Contract Work Hours: Monday–Friday, 8:00 AM–5:00 PM (40 hours/week) Work Location Address: 1400 W. Washington St., Phoenix, AZ 85007 Closing Date: November 4, 2026, at 4:00 PM Position Overview The State of Arizona is seeking an experienced AI/ML Engineering & Governance Manager to lead artificial intelligence initiatives from strategic planning through scalable and responsible deployment. The selected candidate will oversee a team of AI engineers, Business Analysts, and operations specialists. This role involves translating business objectives into technical requirements, managing AI/ML model lifecycles, and ensuring AI solutions deliver measurable business value while maintaining ethical, regulatory, and data privacy compliance. Required Skills
• 5+ years of experience in Data Science, Machine Learning, or AI Engineering.
• At least 2+ years of experience leading and managing AI teams.
• Experience with AI/ML architectures and machine learning lifecycles (MLOps).
• Governance and compliance experience, including risk assessments, model validation, bias testing, and data privacy compliance.
• Microsoft OpenAI experience.
• Strong project management and stakeholder communication skills.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related technical field. Preferred Skills
• OpenAI experience.
• Experience with modern AI/ML frameworks such as PyTorch, TensorFlow, and LangChain.
• Experience with cloud AI services across Azure, AWS, or GCP.

Key Responsibilities
• Strategic Leadership: Define roadmaps, scope, and objectives for enterprise AI and machine learning initiatives.
• Cross-Functional Collaboration: Bridge technical teams, including data science, MLOps, and software engineering, with business stakeholders.
• Team Management: Hire, mentor, and manage AI/ML specialists, providing coaching, performance management, and career development.
• Model Lifecycle Management: Oversee AI model deployment, monitoring, data drift tracking, and retirement.
• Governance & Compliance: Coordinate risk assessments, model validation, bias testing, and data privacy compliance.
• Performance Metrics: Track latency, model availability, accuracy, and business ROI.
• Project Delivery: Deliver complex technical projects on time and within budget using Agile or traditional project management methodologies.
• Executive Communication: Explain complex AI and algorithmic concepts to executive leadership, product teams, and clients. Primary Skills Artificial Intelligence, Machine Learning, AI Engineering, AI Governance, Microsoft Azure OpenAI, OpenAI, MLOps, PyTorch, TensorFlow, LangChain, Data Science, Model Validation, Risk Management, Regulatory Compliance, Data Privacy, Team Management, Strategic Leadership, Project Management, Performance Metrics, AWS, GCP, and Agile Methodology. Flexible work from home options available.

Lead AI/ML Engineering

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Lead AI/ML Engineering

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