AI Application Engineer

AI Application Engineer# Careers at STACK## AI Application Engineer Apply:
Denver, CO:
Full time:
Posted Yesterday:
End Date:
December 10, 2026 (30+ days left to apply):
JR00354
** THE COMPANY:
** STACK INFRASTRUCTURE (STACK) provides digital infrastructure to scale the world’s most innovative companies. We are an award-winning industry leader in building, owning, and operating highly efficient, cost-effective wholesale, colocation, and cloud data centers. Each of our national facilities meets or exceeds the highest industry standards in all operational categories of availability, security, connectivity, and physical resilience.

STACK offers the scale and geographic reach that rapidly growing hyperscale and enterprise companies need. The world runs on data. Data runs on STACK.
** THE POSITION:
** We're building enterprise AI platforms that automate document-intensive review workflows across the business. The AI does the heavy lifting on document understanding, rule validation, and exception detection. The Product Engineer builds what users actually see and use — the reviewer workbench, the executive reporting layer, the data products, and the audit-ready outputs that turn AI insights into business decisions.

This is a hybrid product engineering + analytics engineering role. You'll partner with the AI Solution Architect (who owns the agents) and the MLOps Engineer (who owns the data platform) to ship the user-facing layer. You report to the Head of AI & Data Strategy. Responsibilities include but are not limited to:
** Reviewer Workbench & application engineering
*** Reviewer-facing application — triage incoming documents, accept or override AI recommendations, annotate decisions
* UI/UX patterns that match how reviewers actually work today (comment logs, page-level evidence links, override flows)
* Feedback capture — every reviewer interaction trains the model and refines the rule packs
* Application performance at scale — handling high document volumes with thousands of pages of supporting context
* Surfacing of agent outputs, confidence scores, and citations to reviewers in a way they trust
** Reporting, dashboards & executive visibility
*** Power BI dashboards on Databricks SQL Warehouse — review throughput, accuracy, time saved, operational metrics
* Executive reporting layers for SLT and business leadership
* Portfolio analytics — cross-domain benchmarks, trend analysis, anomaly surfacing
* Quarterly reporting infrastructure for Steer Co and AI Program Council reviews
** Data products & analytics engineering
*** Clean, documented Gold-layer data products on Unity Catalog — reusable across business stakeholders, IT Delivery, AI team
* Output generators — auto-produce Excel + Word + linked evidence outputs per reviewed item, audit-ready by default
* APIs and integration patterns surfacing platform outputs to enterprise systems and business workflows
* Analytics engineering standards — dbt or equivalent modeling, version control, lineage, documentation
** User research & adoption
*** Direct work with business users — what's slowing them down, what's working, what they need next
* Fast-cadence iteration based on real user feedback, not quarterly release cycles
* User documentation, training materials, onboarding flows for end users and report consumers
* Cross-functional partnership with the AI Solution Architect, MLOps Engineer, business stakeholders, IT Delivery, SLT
** THE DETAILS:
**
* Location:

Denver, CO
* Travel:
Under 10%
* Benefits:
Healthcare, Dental Care, Vision Insurance, Life Insurance, Paid Time Off, and Paid Leave Programs
* Must be eligible to work in the United States
* Must pass comprehensive background and drug screening
** MUST-HAVE

QUALIFICATIONS:

*** 5+ years building data-intensive applications,…