
Enterprise Data – AI Architect
Posted Sep 17

Posted Sep 17
This is a fully remote position, open to applicants in Minnesota.
• Define and uphold enterprise data architecture, along with standards and frameworks for metadata management and governance.
• Develop metadata-driven data lineage frameworks to enhance enterprise transparency and improve data quality.
• Design and convert enterprise business and data requirements for a centralized analytics platform.
• Oversee the complete enterprise data architecture, including frameworks and models, such as data warehouses, pipelines, and integrations with enterprise systems.
• Assess, design, and implement AI solutions, including large language models, business process automation, production AI solutions, and document intelligence platforms.
• Lead the enterprise AI automation initiative from opportunity identification to design, deployment, and ongoing support.
• Create AI-driven automation for intricate business processes and manage prompt design, tuning, and evaluation.
• Enhance enterprise data and information workflows while ensuring a balance of accessibility, security, and governance.
• Architect API-driven integrations across various enterprise platforms including SAP Ariba, HighRadius, and Microsoft Graph.
• Offer technical leadership, direction, and mentorship on complex architectural projects.
• Provide guidance on data and AI strategy, along with technical roadmaps.
• Mentor engineering teams on CI/CD, data security, code quality, and architectural best practices.
• Adhere to company and departmental policies while performing other assigned duties.
• Bachelor's Degree in Engineering, Computer Science, or a related field, or equivalent education and/or experience.
• 7 years of pertinent experience in data architecture, data engineering, AI architecture, and AI/ML solution delivery.
• Proven experience in designing and delivering production AI solutions.
• Familiarity with data warehousing, integration, documentation, and AI tools such as Azure Synapse, BigQuery, Snowflake, Informatica, Gemini, GPT, and Google Document AI.
• Strong expertise in Python and SQL for data pipeline development and AI solution engineering.
• Proficient in API-driven systems integration across ERP, procurement, finance, and CRM platforms.
• Deep knowledge of enterprise data architecture, data governance, metadata management, and lineage frameworks.
• Advanced understanding of AI solution frameworks, model lifecycle concepts, and supporting data needs.
• Capacity to evaluate technology solutions and recommend architectural approaches and best practices on an enterprise scale.
• Outstanding communication, influencing, and facilitation skills; capable of clearly presenting complex technical concepts to non-technical audiences.
• Ability to lead cross-functional initiatives and sway decision-making without direct authority.
• Strong collaboration, project management, problem-solving, and analytical abilities.
• Capability to work independently, maintain focus, and remember processes and procedures.
• Ability to thrive in a professional office or remote environment.
• Willingness to travel occasionally for business meetings, project activities, and collaborative events.
• Comprehensive Medical, Dental, and Vision benefits along with an integrated Wellness Program.
• 401(k) Match Retirement Savings Plan.
• Paid Time Off (PTO).
• Holiday Pay & Floating Holidays.
• Volunteer Time Off (VTO).
• Educational Assistance Program.
• Fully Paid Parental and Adoption Leave.
• LifeWorks (Employee Assistance Program).
• Patterson Perks Program.
• 10% occasional travel for business meetings, project activities, and collaboration events.
Alzheimer's Association®
Capital One
Capital One
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