Jobs at Veracity Insurance Solutions, LLC

Manages a portfolio of commercial insurance clients across onboarding, policy servicing, renewals, endorsements, claims inquiries, and account adjustments. Builds client relationships, answers coverage questions, recommends coverage changes, supports retention, and identifies cross-selling opportunities. Coordinates with carriers, underwriters, sales, and internal teams to resolve issues. Maintains accurate CRM and agency management records while following licensing, compliance, and policy servicing requirements.

Researches, writes, edits, and publishes SEO- and conversion-focused content across websites, blogs, emails, ads, videos, and other channels. Collaborates with product marketing, design, SEO, and amplification teams; manages content priorities and deadlines; optimizes content using analytics and search tools; incorporates AI into workflows while maintaining editorial quality; publishes in WordPress; and supports backlink outreach and content initiatives.

Owns and administers Veracity’s Atlassian Cloud environment, including Jira, Confluence, Jira Service Management, Atlassian Guard, Marketplace apps, automations, integrations, dashboards, permissions, governance, and compliance. Partners with technical and business teams to optimize workflows, reduce manual work, improve adoption, document standards, and resolve platform issues.

Leads enterprise AI strategy, architecture, platform decisions, and adoption across a customer-facing insurance platform. Designs scalable, reliable, cost-efficient production AI systems; establishes LLMOps evaluation, observability, versioning, guardrails, and rollout standards; guides build-versus-buy decisions; partners with product and engineering leadership; communicates technical decisions to executives; and champions AI-assisted coding and responsible development practices.

Design and deploy production AI agent systems for a regulated insurance platform, including orchestration, tool use, RAG, MCP integrations, reliability controls, evaluations, guardrails, observability, and cost management. Integrate agents with deterministic APIs and workflows while ensuring human oversight for money, binding, and compliance decisions. Establish AI-first engineering and product practices, influence architecture, and drive adoption across distributed engineering teams.

Lead AI Engineer defines AI strategy, architecture, and standards; makes build vs. buy decisions; architects scalable, reliable LLM/GenAI systems; establishes LLMOps, evaluation, guardrails, and observability; coordinates cross-functional alignment with product and engineering; and champions AI-assisted developer tooling and responsible AI practices.