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# Senior AI Engineer/Databricks Architect

- **Company:** Eliassen Group
- **Location:** Little Rock, AR, United States (Remote available)
- **Experience:** Expert
- **Salary:** $126,000.0 - $188,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Applications, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), Machine Learning, Large Language Models, Multi-Agent Systems, Generative AI, AI Platforms, Kubernetes, Machine Learning Operations, Virtual Agents, Databricks
- **Published:** August 27, 2026
- **Apply:** https://dejobs.org/x/x/E5F5D0F22EC04FB59B8998DE40149D0E/job/

## About the Role

* 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.

## Description

* 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.


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