Senior AI Engineer
HUB International2 days ago
Base Salary
$130k - $190k/yr
Responsibilities
- Build reusable Claude skills and plug-ins and compose them into governed AI applications.
- Develop retrieval-augmented generation, embeddings, vector-store, and multi-step workflow implementations over governed enterprise data.
- Configure foundational models through system and prompt design, skill building, tool building, and function calling.
- Productionize business-built AI prototypes into reliable, governed, enterprise-ready applications.
- Set architecture, testing, logging, documentation, release, evaluation, monitoring, and governance standards for AI Engineering.
- Review architecture and code, mentor AI Engineers and contract engineers, and establish technical standards across other engineering teams.
- Own the skill and plug-in marketplace and MCP catalog, including intake, publishing, versioning, maintenance, deprecation, access control, and auditability.
- Establish evaluation harnesses, golden-set testing, guardrails, regression gates, monitoring, logging, and production incident support.
- Translate security, privacy, governance, and regulatory requirements into engineering controls and audit-ready evidence.
- Partner with business stakeholders, Product, Enterprise Engineering, Data and Analytics, Cloud, Security, Privacy, and other technical teams to deliver governed AI capabilities.
Requirements
- 7+ years of software or automation engineering experience, including 3+ years building and shipping LLM-backed applications to production.
- Direct, recent, hands-on experience building and publishing Claude skills or plug-ins.
- Demonstrated individual-contributor technical leadership through standards-setting, architecture and code review, and mentoring without people management.
- Strong Python, enterprise integration, testing, version control, and monitoring experience.
- Hands-on experience with foundational models, system and prompt design, skill and tool building, and function or tool calling.
- Experience with retrieval-augmented generation, embeddings, vector stores, chunking, and reranking.
- Experience evaluating and monitoring LLM-backed systems and managing cost, latency, and reliability tradeoffs.
- Experience in regulated enterprise environments with security, governance, and access control responsibilities.
- Cloud experience with Azure or GCP / Vertex AI.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
- Preferred experience with agent development and orchestration using LangGraph, CrewAI, or Claude Agent SDK.
- Preferred experience with Model Context Protocol design, MCP server governance, agent-to-agent patterns, RBAC, non-human or agent identity, and least privilege.
- Preferred familiarity with NIST AI Risk Management Framework, ISO/IEC 42001, or the NAIC model bulletin on insurer use of AI systems.
- Preferred exposure to UiPath, Microsoft Power Platform, insurance or financial services, Git, CI/CD pipelines, Jira, or Azure DevOps.
Benefits
- Competitive base salary plus performance-based bonus.
- Medical, dental, vision, life, disability, FSA, HSA, and 401(k) benefits, including company matching where applicable.
- Paid time off, company holidays, and paid parental leave.
- Hybrid work arrangement based out of HUB’s Chicago office.
- Professional development, structured training, licensing support, and certification reimbursement.
- Wellbeing program, collaborative culture, and opportunities to set enterprise AI engineering direction.
Tech Stack
Categories
About HUB International
HUB International is a global insurance brokerage that sells commercial and personal insurance, risk management, employee benefits, retirement, and wealth advisory services to businesses and individuals. It operates through offices across North America and generates revenue primarily from brokerage commissions and fees. Headquartered in Chicago, it is privately held and backed by private equity firm Hellman & Friedman, with origins dating to the late 1990s through the merger of regional brokerages.