{"schemaVersion":"jobsearcher.job.v1","id":"8d0f3f73d99b17bdb5451b82","url":"https://jobsearcher.com/jobs/8d0f3f73d99b17bdb5451b82","canonicalUrl":"https://jobsearcher.com/jobs/8d0f3f73d99b17bdb5451b82","title":"AI Application Engineer","description":"THE COMPANY:\n\nSTACK 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.\n\nSTACK offers the scale and geographic reach that rapidly growing hyperscale and enterprise companies need. The world runs on data. Data runs on STACK.\n\nTHE POSITION:\nWe'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.\n\nThis 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:\n\nReviewer Workbench & application engineering\n\nReviewer-facing application — triage incoming documents, accept or override AI recommendations, annotate decisions\nUI/UX patterns that match how reviewers actually work today (comment logs, page-level evidence links, override flows)\nFeedback capture — every reviewer interaction trains the model and refines the rule packs\nApplication performance at scale — handling high document volumes with thousands of pages of supporting context\nSurfacing of agent outputs, confidence scores, and citations to reviewers in a way they trust\n\nReporting, dashboards & executive visibility\n\nPower BI dashboards on Databricks SQL Warehouse — review throughput, accuracy, time saved, operational metrics\nExecutive reporting layers for SLT and business leadership\nPortfolio analytics — cross-domain benchmarks, trend analysis, anomaly surfacing\nQuarterly reporting infrastructure for SteerCo and AI Program Council reviews\n\nData products & analytics engineering\n\nClean, documented Gold-layer data products on Unity Catalog — reusable across business stakeholders, IT Delivery, AI team\nOutput generators — auto-produce Excel + Word + linked evidence outputs per reviewed item, audit-ready by default\nAPIs and integration patterns surfacing platform outputs to enterprise systems and business workflows\nAnalytics engineering standards — dbt or equivalent modeling, version control, lineage, documentation\n\nUser research & adoption\n\nDirect work with business users — what's slowing them down, what's working, what they need next\nFast-cadence iteration based on real user feedback, not quarterly release cycles\nUser documentation, training materials, onboarding flows for end users and report consumers\nCross-functional partnership with the AI Solution Architect, MLOps Engineer, business stakeholders, IT Delivery, SLT\n\nTHE DETAILS:\n\nLocation: Denver, CO\nTravel: Under 10%\nBenefits: Healthcare, Dental Care, Vision Insurance, Life Insurance, Paid Time Off, and Paid Leave Programs\nMust be eligible to work in the United States\nMust pass comprehensive background and drug screening\n\nMUST-HAVE QUALIFICATIONS:\n\n5+ years building data-intensive applications, internal tools, or data products in production\n\nFull-stack capability — modern web frameworks (React, Vue, or equivalent), Python or TypeScript, SQL\nProduction experience with at least one BI/reporting tool (Power BI preferred)\nStrong SQL on Databricks SQL Warehouse, dbt, or equivalent lakehouse modeling\nProven UX intuition — you have shipped internal tools real users adopt and improved them based on observed behavior\nExperience designing reporting consumed by executive stakeholders — balancing detail, accuracy, clarity\nMicrosoft 365 and Azure ecosystem familiarity (Power BI, SharePoint Online, Azure App Services, Entra ID)\nBachelor's degree in Computer Science, Engineering, or related field\n\nNice to have\n\nPower BI Data Analyst Associate or Databricks Data Analyst Associate certifications\nDocument-heavy UX experience — PDF viewers, annotation tools, evidence linking, comment logs\nExperience surfacing LLM outputs to end users — confidence scoring, override flows, citation interfaces\nReact + TypeScript + modern frontend tooling and component libraries\nEmbedded analytics (Power BI embedded, Looker embedded, or equivalent)\nConstruction, real estate, data center, or AEC industry context\nExperience operating in a small AI team where you wear multiple hats\n\nHow you work\n\nYou build for the user in front of you. You would rather watch a user use what you built than read about adoption metrics.\nYou're comfortable with ambiguity. You figure out what the user needs by talking to them, not by waiting for a spec.\nYou ship small and often. Big quarterly releases are not your model.\nYou think about data products as products. A Gold-layer table should be documented, versioned, and reliable.\n\nCompensation Range:\n\n$128,260.00 - $146,017.59\n\nTHIS MIGHT BE RIGHT FOR YOU IF:\n\nYou are a strong communicator, you are persuasive and clear, blending analytics with experience in decision-making.\n\nYou do not get flustered easily. You can juggle multiple priorities while balancing urgent requests with shifting timelines and deliverables.\n\nYou 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.\n\nYou are naturally curious and driven toward continual improvement. While you celebrate your successes, you take time to review and analyze campaigns for future learning.\n\nWHY STACK?\n\nWe 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.\n\nWe foster a culture of appreciation, including peer-to-peer recognition and rewards programs.\n\nFun is part of our DNA, with events, game nights, happy hours, and barbecues.\n\nWe’re growing – this is a great time to join and make an impact!\n\nSTACK 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\n\nNote 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.","company":"Stack Infrastructure Us","rawCompany":"stack infrastructure us","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-31T10:31:08.341Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Application Engineer","description":"THE COMPANY:\n\nSTACK 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.\n\nSTACK offers the scale and geographic reach that rapidly growing hyperscale and enterprise companies need. The world runs on data. Data runs on STACK.\n\nTHE POSITION:\nWe'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.\n\nThis 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:\n\nReviewer Workbench & application engineering\n\nReviewer-facing application — triage incoming documents, accept or override AI recommendations, annotate decisions\nUI/UX patterns that match how reviewers actually work today (comment logs, page-level evidence links, override flows)\nFeedback capture — every reviewer interaction trains the model and refines the rule packs\nApplication performance at scale — handling high document volumes with thousands of pages of supporting context\nSurfacing of agent outputs, confidence scores, and citations to reviewers in a way they trust\n\nReporting, dashboards & executive visibility\n\nPower BI dashboards on Databricks SQL Warehouse — review throughput, accuracy, time saved, operational metrics\nExecutive reporting layers for SLT and business leadership\nPortfolio analytics — cross-domain benchmarks, trend analysis, anomaly surfacing\nQuarterly reporting infrastructure for SteerCo and AI Program Council reviews\n\nData products & analytics engineering\n\nClean, documented Gold-layer data products on Unity Catalog — reusable across business stakeholders, IT Delivery, AI team\nOutput generators — auto-produce Excel + Word + linked evidence outputs per reviewed item, audit-ready by default\nAPIs and integration patterns surfacing platform outputs to enterprise systems and business workflows\nAnalytics engineering standards — dbt or equivalent modeling, version control, lineage, documentation\n\nUser research & adoption\n\nDirect work with business users — what's slowing them down, what's working, what they need next\nFast-cadence iteration based on real user feedback, not quarterly release cycles\nUser documentation, training materials, onboarding flows for end users and report consumers\nCross-functional partnership with the AI Solution Architect, MLOps Engineer, business stakeholders, IT Delivery, SLT\n\nTHE DETAILS:\n\nLocation: Denver, CO\nTravel: Under 10%\nBenefits: Healthcare, Dental Care, Vision Insurance, Life Insurance, Paid Time Off, and Paid Leave Programs\nMust be eligible to work in the United States\nMust pass comprehensive background and drug screening\n\nMUST-HAVE QUALIFICATIONS:\n\n5+ years building data-intensive applications, internal tools, or data products in production\n\nFull-stack capability — modern web frameworks (React, Vue, or equivalent), Python or TypeScript, SQL\nProduction experience with at least one BI/reporting tool (Power BI preferred)\nStrong SQL on Databricks SQL Warehouse, dbt, or equivalent lakehouse modeling\nProven UX intuition — you have shipped internal tools real users adopt and improved them based on observed behavior\nExperience designing reporting consumed by executive stakeholders — balancing detail, accuracy, clarity\nMicrosoft 365 and Azure ecosystem familiarity (Power BI, SharePoint Online, Azure App Services, Entra ID)\nBachelor's degree in Computer Science, Engineering, or related field\n\nNice to have\n\nPower BI Data Analyst Associate or Databricks Data Analyst Associate certifications\nDocument-heavy UX experience — PDF viewers, annotation tools, evidence linking, comment logs\nExperience surfacing LLM outputs to end users — confidence scoring, override flows, citation interfaces\nReact + TypeScript + modern frontend tooling and component libraries\nEmbedded analytics (Power BI embedded, Looker embedded, or equivalent)\nConstruction, real estate, data center, or AEC industry context\nExperience operating in a small AI team where you wear multiple hats\n\nHow you work\n\nYou build for the user in front of you. You would rather watch a user use what you built than read about adoption metrics.\nYou're comfortable with ambiguity. You figure out what the user needs by talking to them, not by waiting for a spec.\nYou ship small and often. Big quarterly releases are not your model.\nYou think about data products as products. A Gold-layer table should be documented, versioned, and reliable.\n\nCompensation Range:\n\n$128,260.00 - $146,017.59\n\nTHIS MIGHT BE RIGHT FOR YOU IF:\n\nYou are a strong communicator, you are persuasive and clear, blending analytics with experience in decision-making.\n\nYou do not get flustered easily. You can juggle multiple priorities while balancing urgent requests with shifting timelines and deliverables.\n\nYou 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.\n\nYou are naturally curious and driven toward continual improvement. While you celebrate your successes, you take time to review and analyze campaigns for future learning.\n\nWHY STACK?\n\nWe 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.\n\nWe foster a culture of appreciation, including peer-to-peer recognition and rewards programs.\n\nFun is part of our DNA, with events, game nights, happy hours, and barbecues.\n\nWe’re growing – this is a great time to join and make an impact!\n\nSTACK 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\n\nNote 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.","datePosted":"2026-08-31T10:31:08.341Z","dateModified":"2026-08-31T10:31:08.341Z","hiringOrganization":{"@type":"Organization","name":"Stack Infrastructure Us","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8d0f3f73d99b17bdb5451b82"},"url":"https://jobsearcher.com/jobs/8d0f3f73d99b17bdb5451b82"}}