Senior AI Engineer & Databricks Architect - Remote

Eliassen Group; Helena (MT); On-site; USD 126,000 - 188,000; Full time

Job summary

Eliassen Group is seeking a Senior AI Engineer/Databricks Architect to design, build, and deploy production-grade AI applications for the insurance sector. The role emphasizes Databricks, Python, and agentic AI, with cloud-centric, scalable ML pipelines and strong collaboration with stakeholders.

The position is full-time, remote (Anywhere), offering a competitive salary and comprehensive benefits; W2 arrangements apply. Prior production deployment of AI/LLM solutions is required.

Qualifications

• 5+ years in software, AI, or machine learning engineering.
• Proven experience deploying AI/LLM solutions to production.
• Agentic AI experience.
• Strong Databricks experience.
• Expert‑level Python development.
• Cloud experience, Azure preferred.

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

Databricks

Python

LLMs

MLOps

Azure

Agentic AI

Production AI

Job description

Eliassen Group is seeking a Senior AI Engineer/Databricks Architect to design, build, and deploy production-grade AI applications for the insurance sector. The role emphasizes Databricks, Python, and agentic AI, with cloud-centric, scalable ML pipelines and strong collaboration with stakeholders.

The position is full-time, remote (Anywhere), offering a competitive salary and comprehensive benefits; W2 arrangements apply. Prior production deployment of AI/LLM solutions is required.