Advanced Analytics & Research Specialist

Great American Insurance Group’s AI Innovation Lab serves as a proving ground for emerging artificial intelligence technologies. This role focuses on applied AI research tied directly to real business needs, rather than academic research or traditional software development.

• Evaluate emerging AI technologies (e.g., agent frameworks, RAG architectures, AI orchestration patterns) against business needs and enterprise constraints.
• Build rapid prototypes to demonstrate technical feasibility and business value.
• Document findings, including both successful and unsuccessful experiments, to guide enterprise AI direction.
• Partner with Enterprise Architecture to ensure alignment with API‑first and production‑ready design principles.
• Enable business‑side data science capabilities through self‑service tools and analytics environments.
• Implement and assess agent frameworks, Model Context Protocol (MCP) integrations, and AI workflows.
• Communicate complex technical concepts clearly to business stakeholders and executive audiences.
• Mentor team members and contribute to a culture of continuous learning and innovation.
• Maintain a meaningful on‑site presence to support collaboration, relationship building, and business success in this hybrid role.

• Bachelor’s degree in Computer Science, Statistics, or related fields.
• 3 or more years of demonstrated AI/ML expertise.
• Strong Python programming skills and experience with ML frameworks (e.g., PyTorch, Tensor Flow).
• Proven ability to build working prototypes, not just theoretical models.
• Strong learning agility and objective evaluation skills for new technologies.
• Understanding of API design and enterprise system integration.
• Excellent written and verbal communication skills.
• Intellectual curiosity and comfort operating in ambiguous, evolving environments.

• Experience in insurance, financial services, or other regulated industries.
• Hands‑on experience with agentic AI frameworks (e.g., Lang Chain, Lang Graph, CrewAI).
• Familiarity with Model Context Protocol (MCP) or similar integration standards.
• Experience with Microsoft Azure cloud services.
• Exposure to actuarial, underwriting, or claims workflows.
• Understanding of enterprise architecture and production constraints.
• Experience transitioning prototypes or research initiatives into production teams.
• Proficiency with Python, Java, Microsoft Azure, REST APIs, LLM APIs and gateways, vector databases, agent frameworks, Docker/Kubernetes, SQL and No
  
  SQL databases.
• Adaptability to evolving tooling environments.

Full‑time employees receive medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, tuition reimbursement, paid time off, paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.

Part‑time eligible employees receive similar benefits where applicable.