AI Lead Engineer

Triad Financial Services IncJacksonville, FL
4h

About The Position

Triad Financial Services is a leading provider of financial services and solutions, serving clients nationwide and seeking an AI Lead Engineer or Manager who will report directly to the Chief Information Officer. This role requires an experienced strategic leader who will be responsible for developing and executing the enterprise-wide AI vision, strategy, and roadmap. This role ensures the protection of digital assets, data, and infrastructure surrounding our AI posture. This role partners with Technology, Risk, Compliance, and business stakeholders to identify high‑value use cases, deploy copilots/agents with appropriate guardrails, and ensure solutions remain reliable, secure, and compliant in production. The role balances innovation with governance, emphasizing human‑in‑the-loop oversight for higher‑impact use cases and safe handling of sensitive information.

Requirements

  • Bachelors or Master's in Computer Scient, AI, Data Science, or related field
  • 7+ years of AI/ML experience, including enterprise deployments
  • 5+ years in a leadership role (people leadership and/or program leadership)
  • Hands-on experience deploying AI integrations and automation in enterprise environments; strong understanding of LLMs, NLP, and agentic AI frameworks
  • Demonstrated experience with AI governance, security, bias mitigation, and human-in-the-loop systems.
  • Strong stakeholder management and communication skills, including partnering with risk/compliance

Nice To Haves

  • Experience with Microsoft productivity/AI ecosystem (e.g., Microsoft Copilot) and enterprise automation tooling.
  • Experience in mortgage, financial services, or similarly regulated environments.
  • Experience evaluating AI vendors and solutions using structured scoring/risk matrices, including authorization controls and prompt/retention considerations.
  • Familiarity with emerging industry practices for agent governance/security across data governance, observability, and lifecycle controls.

Responsibilities

  • Agentic AI & Automation Delivery
  • End-User Productivity Enablement
  • Governance, Risk, and Controls (Responsible AI)
  • Data, Quality, and Validation
  • Stakeholder Leadership & Program Management
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