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# Senior AI Solutions Engineer

- **Company:** Ess Inc
- **Location:** Columbia, MO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, BigQuery, Data Warehousing, Python (Programming Language), OpenID, SQL Databases, Google Cloud, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Production Code, Workday
- **Published:** June 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2302d27093d4a475

## About the Role

Do you have experience in SQL?, * You can actually build. You write production code (Python and SQL at minimum), deploy it, and maintain it. You're comfortable in the cloud - GCP preferred, but we'll take strong AWS/Azure if you can switch.

 * You're fluent with modern AI tooling: LLM APIs, prompt design, retrieval/RAG patterns, agent frameworks, and AI-assisted development (Claude Code, Copilot, or equivalent). You understand where these tools are reliable and, more importantly, where they aren't.
 * You can work with data: SQL is second nature, you understand warehouses and ELT, and you can model and query messy real-world business data.
 * You can translate. You can talk to a project manager about job costing, then go write the code, then explain the result to a CFO. The translation is half the job.
 * You have good judgment about build vs. buy, and you're not religious about either.
 * You operate with minimal direction. You can take a vague business problem, scope it, and come back with something that works.

Nice to have

 * Construction, engineering, or other operations-heavy industry experience.
 * Experience integrating with enterprise systems such as ERP (Viewpoint Vista or similar) and HCM platforms (Workday).
 * dbt, BigQuery, and modern data stack experience.
 * Experience standing up internal-facing applications with enterprise auth (Entra ID / OIDC).
 * A track record of getting non-technical people to adopt new tools - adoption is harder than building.

Who thrives here

The person who does well in this role is pragmatic over flashy, ships over theorizes, and would rather deliver a credible $100K improvement than promise an unsupportable $1M one. You're comfortable being early, you don't need a playbook handed to you, and you can hold your own with operators who are skeptical of anything with "AI" in the name.



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