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AI/ML Technical Lead

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Tier4 Group

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Location:
United States , Atlanta

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

AI/ML Technical Lead is responsible for defining, operationalizing, and governing enterprise AI strategy. This leader will modernize and rationalize existing predictive modeling capabilities while introducing pragmatic, high-impact Generative AI and LLM-enabled solutions primarily through vendor partnerships. This role requires a builder’s mindset with executive judgment. The successful candidate will independently design the AI technology roadmap, select and integrate vendors, ensure security and compliance alignment, and translate business strategy into executable AI initiatives without relying on a large internal team.

Job Responsibility:

  • Co-create and own the enterprise AI strategy in partnership with the CDAIO and Head of Data & Analytics
  • Define a multi-year AI roadmap spanning: Traditional predictive / statistical models, Machine learning and decision intelligence, LLM-enabled and agent-based capabilities
  • Balance innovation with risk, regulatory posture, and operational readiness
  • Define AI reference architectures including: Model lifecycle management, Data pipelines and feature stores, LLM orchestration, RAG patterns, and model hosting strategies
  • Ensure alignment with enterprise data platforms, cloud strategy, and security architecture
  • Establish guardrails for scalability, cost control, and vendor lock-in mitigation
  • Lead selection, contracting input, and ongoing oversight of AI vendors and system integrators
  • Serve as technical authority in vendor solution design and delivery quality
  • Drive outcome-based vendor accountability tied to measurable business value
  • Partner closely with the CISO, Legal, Compliance, and Risk functions to: Define AI risk controls and model governance standards, Ensure safe, explainable, and auditable AI usage, Establish policies for LLM usage, data privacy, and model monitoring
  • Support internal and regulatory transparency for AI-driven decisions
  • Oversee execution of AI initiatives while remaining hands-on where needed
  • Enable business leaders and analytics teams to responsibly adopt AI capabilities
  • Communicate progress, risks, and value realization to executive stakeholders

Requirements:

  • 10+ years in data, analytics, or AI technology roles with progressive leadership responsibility
  • Demonstrated experience designing and deploying AI solutions in regulated environments
  • Strong understanding of: Predictive modeling and ML techniques, LLMs, GenAI architectures, and vendor platforms, Cloud-based AI ecosystems
  • Proven success managing vendors and external partners
  • Ability to operate autonomously with limited staff support

Nice to have:

  • Insurance, financial services, or healthcare risk domains
  • Experience standing up AI governance frameworks
  • Prior accountability for enterprise-level AI strategy or platforms

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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