Senior AI Engineer - Production AI on Databricks (Remote)

Eliassen Group; Jackson (MS); On-site; USD 126,000 - 188,000; Full time

Benefits offered by this job

Medical plans (3 options)

Dental

Vision

Pre‑tax accounts

Life and disability insurance

401(k) with match

Sick time

Job summary

Eliassen Group is seeking a Senior AI Engineer/Databricks Architect to design, build, and deploy production-grade AI applications within the insurance sector. This remote, permanent role focuses on LLM solutions, agentic workflows, and scalable AI systems for underwriting, claims, and pricing processes.

The candidate should have strong Python skills, hands-on Databricks experience, and a track record of deploying AI to production.

Qualifications

• 5+ years in software, AI, or machine learning engineering.

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.

Skills

LLMs

AI

MLOps

Azure

Agentic AI

Tools

Databricks

Python

Job description

Eliassen Group is seeking a Senior AI Engineer/Databricks Architect to design, build, and deploy production-grade AI applications within the insurance sector. This remote, permanent role focuses on LLM solutions, agentic workflows, and scalable AI systems for underwriting, claims, and pricing processes.

The candidate should have strong Python skills, hands-on Databricks experience, and a track record of deploying AI to production.