AI Application Engineer

Product EngineerStack 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.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-facing application — triage incoming documents, accept or override AI recommendations, annotate decisionsUI/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 packsApplication performance at scale — handling high document volumes with thousands of pages of supporting contextSurfacing of agent outputs, confidence scores, and citations to reviewers in a way they trustPower BI dashboards on Databricks SQL Warehouse — review throughput, accuracy, time saved, operational metricsExecutive reporting layers for SLT and business leadershipPortfolio analytics — cross-domain benchmarks, trend analysis, anomaly surfacingQuarterly reporting infrastructure for SteerCo and AI Program Council reviewsClean, documented Gold-layer data products on Unity Catalog — reusable across business stakeholders, IT Delivery, AI teamOutput generators — auto-produce Excel + Word + linked evidence outputs per reviewed item, audit-ready by defaultAPIs and integration patterns surfacing platform outputs to enterprise systems and business workflowsAnalytics engineering standards — dbt or equivalent modeling, version control, lineage, documentationDirect work with business users — what's slowing them down, what's working, what they need nextFast-cadence iteration based on real user feedback, not quarterly release cyclesUser documentation, training materials, onboarding flows for end users and report consumersCross-functional partnership with the AI Solution Architect, MLOps Engineer, business stakeholders, IT Delivery, SLTLocation: Denver, COTravel: Under 10%Benefits: Healthcare, Dental Care, Vision Insurance, Life Insurance, Paid Time Off, and Paid Leave ProgramsMust be eligible to work in the United StatesMust pass comprehensive background and drug screeningMUST-HAVE QUALIFICATIONS:5+ years building data-intensive applications, internal tools, or data products in productionFull-stack capability — modern web frameworks (React, Vue, or equivalent), Python or TypeScript, SQLProduction experience with at least one BI/reporting tool (Power BI preferred)Strong SQL on Databricks SQL Warehouse, dbt, or equivalent lakehouse modelingProven UX intuition — you have shipped internal tools real users adopt and improved them based on observed behaviorExperience designing reporting consumed by executive stakeholders — balancing detail, accuracy, clarityMicrosoft 365 and Azure ecosystem familiarity (Power BI, SharePoint Online, Azure App Services, Entra ID)Bachelor's degree in Computer Science, Engineering, or related fieldNice to havePower BI Data Analyst Associate or Databricks Data Analyst Associate certificationsDocument-heavy UX experience — PDF viewers, annotation tools, evidence linking, comment logsExperience surfacing LLM outputs to end users — confidence scoring, override flows, citation interfacesReact + TypeScript + modern frontend tooling and component librariesEmbedded analytics (Power BI embedded, Looker embedded, or equivalent)Construction, real estate, data center, or AEC industry contextExperience operating in a small AI team where you wear multiple hatsHow you workYou build for the user in front of you. You would rather watch a user use what you built than read about adoption metrics.You're comfortable with ambiguity. You figure out what the user needs by talking to them, not by waiting for a spec.You ship small and often. Big quarterly releases are not your model.You think about data products as products. A Gold-layer table should be documented, versioned, and reliable.Compensation Range: $128,260.00 - $146,017.59THIS MIGHT BE RIGHT FOR YOU IF:You are a strong communicator, you are persuasive and clear, blending analytics with experience in decision-making.You do not get flustered easily. You can juggle multiple priorities while balancing urgent requests with shifting timelines and deliverables.You are a team builder. You take the time to understand and develop the strengths of your resources while formulating long-term plans for the growth and success of the team.You are naturally curious and driven toward continual improvement. While you celebrate your successes, you take time to review and analyze campaigns for future learning.WHY STACK?We offer a competitive compensation package with strong benefits, including medical, dental, and vision insurance, a 401K program, flexible spending accounts – even a cell phone subsidy.We foster a culture of appreciation, including peer-to-peer recognition and rewards programs.Fun is part of our DNA, with events, game nights, happy hours, and barbecues.We're growing – this is a great time to join and make an impact!Stack is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, mental or physical disability, genetic information, veteran status, or any other status protected by federal, state, or local law.Note to external agencies: We are not accepting any blind submissions or resumes/cvs from recruitment agencies. Any candidates sent to Stack Infrastructure, Inc. will not be accepted or considered as a submission without a signed agreement in place. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Stack Infrastructure, Inc.