Description
Remote
Our client seeks a Senior AI Engineer to design, build, and deploy production-grade AI applications and agentic workflows at scale within the insurance domain. The role requires strong software engineering fundamentals, Databricks expertise, and hands-on experience shipping LLM-based solutions to production. The engineer will collaborate with product managers, architects, business stakeholders, and peers to transform underwriting, claims, pricing, and related processes through AI while establishing standards and best practices.
This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.
Salary: $126,000 - $188,000/ yr. w2
JN -082026-108267
Responsibilities
- Design, build, and deploy AI-powered applications and agentic workflows in production.
- Develop solutions using LLMs, AI agents, orchestration frameworks, and modern AI engineering practices.
- Engage business stakeholders, translate requirements, and deliver scalable technical solutions.
- Contribute to architecture discussions, solution design, and technical roadmaps.
- Implement cloud-native development practices and maintain robust AI systems.
- Apply MLOps for deployment, monitoring, and CI/CD of AI solutions.
- Work in AI-assisted development environments with coding agents and human-in-the-loop workflows.
- Partner with product management and architecture throughout the solution lifecycle.
- Advance organizational AI transformation initiatives and standards.
- Establish and advocate engineering best practices for AI development.
Experience Requirements
- 5+ years in software, AI, or machine learning engineering.
- Proven experience deploying AI and LLM solutions to production.
- Agentic AI experience.
- Strong Databricks experience.
- Expert-level Python development.
- Hands-on work with LLMs and Generative AI.
- Experience with AI orchestration frameworks or agentic architectures.
- Cloud experience, with Azure preferred.
- MLOps, model deployment, CI/CD, and production engineering practices.
- Effective communication and direct collaboration with business stakeholders.
- Preferred: Insurance or life insurance experience, enterprise AI platform design, and leadership or mentoring experience.
Education Requirements