AI Systems Lead

Veracity Insurance Solutions, LLC•Pleasant Grove, UT

About The Position

We’re seeking a strategic and execution-focused AI Systems Lead to drive responsible, scalable AI adoption across the organization. This role identifies, implements, and operationalizes artificial intelligence solutions that improve efficiency, strengthen decision-making, and enhance competitive advantage. Serving as the organization’s internal AI subject matter expert, the AI Systems Lead bridges business strategy and technical execution—ensuring AI tools are thoughtfully selected, securely implemented, deeply integrated into workflows, and governed responsibly. The ultimate goal of this role is to elevate operational maturity through practical, measurable, and compliant use of AI.

Requirements

Hands-on experience with AI platforms (e.g., OpenAI, Gemini, Claude, Copilot, or similar tools)
Experience building and configuring custom GPTs, AI agents, or prompt-based automation systems
Strong understanding of APIs, integrations, and system-to-system workflows
Experience designing and implementing AI-enabled knowledge bases
Ability to translate business challenges into practical, secure AI solutions
Strong understanding of data security, privacy, and responsible AI usage principles
Experience with AI evaluation/testing (accuracy validation, hallucination risk, regression testing)
Knowledge of knowledge base architecture, permissions management, and content governance
Experience leading AI adoption, training, or change management initiatives
Strong communication skills with the ability to advise both technical and non-technical stakeholders

Nice To Haves

Background in systems administration, business systems, or IT enablement
Experience with low-code/no-code automation tools
Familiarity with vector databases, embeddings, or retrieval-augmented generation (RAG) concepts
Experience supporting non-technical teams with advanced technical platforms
Prior experience leading AI transformation or enterprise-wide enablement initiatives

Responsibilities

Identify and prioritize high-impact AI use cases across departments in partnership with business leaders
Evaluate and recommend AI platforms and tools based on business needs, scalability, and governance requirements
Configure, deploy, and administer AI tools across the organization
Build and maintain custom AI solutions, including custom GPTs, AI agents, workflow automations, and knowledge retrieval systems
Establish and manage an AI enablement framework, including use-case intake, prioritization, rollout standards, adoption tracking, and value measurement
Ensure platform owners implement AI capabilities appropriately (automation, assistants, summarization, intelligent routing, knowledge retrieval)
Design and enforce AI governance standards, including evaluation/testing practices, guardrails, prompt/version control, and drift monitoring
Promote responsible AI usage aligned with security, privacy, compliance, and brand standards
Partner with Technology Operations and Information Security to ensure AI platforms meet data governance, access control, vendor risk, and compliance requirements
Oversee AI access controls (RBAC, SSO/MFA alignment), audit logging, and retention standards
Serve as escalation point for AI-related risks, incidents, or cross-system issues
Design and implement integrations between AI tools and core business systems (CRM, document management, APIs, internal tools)
Optimize workflows by embedding AI directly into operational processes
Develop AI-powered knowledge bases using internal documentation and structured data
Establish documentation standards, SOPs, configuration baselines, and operational maturity practices for AI platforms
Enable adoption through documentation, training, playbooks, and ongoing support
Define, measure, and report on AI performance metrics, including use cases deployed to production, cycle time improvements, hours saved, active user adoption, reduction in rework or errors, and governance compliance and audit readiness
Required to perform other duties as requested, directed, or assigned