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Koch Industries

Private conglomerate in energy and materials

Data & AI Solutions Architect

Data ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Experience translating business outcomes into scalable Data and AI architectures and influencing technical direction across teams.
  • Experience designing end-to-end Data and AI solutions using cloud, data, and AI platforms such as AWS, Snowflake, Microsoft Fabric, or similar technologies.
  • Experience advancing platform adoption through product management, developer enablement, or adoption metrics.
  • Experience using AI and AI-DLC practices to accelerate solution design, planning, delivery, and decision-making.
  • Demonstrated ability to create architecture artifacts and build prototypes, reference implementations, or technical evaluations that validate decisions and reduce delivery risk.
  • Demonstrated understanding of architecture and responsible AI principles, including security, privacy, governance, observability, resiliency, and supportability, paired with stakeholder management and influence skills.

Responsibilities

  • Partner with stakeholders to understand business outcomes and translate them into scalable Data and AI architectures.
  • Develop solution designs, architecture standards, and implementation guidance that promote consistency, reuse, and delivery speed.
  • Build alignment and influence decisions across business, product, engineering, security, governance, and platform teams.
  • Design end-to-end data and AI solutions spanning data platforms, integrations, analytics, automation, governance, and AI capabilities.
  • Apply cloud-native, API-first, event-driven, and domain-oriented design principles.
  • Identify opportunities where AI can improve decision-making, productivity, operations, and business outcomes.
  • Establish architecture patterns, standards, and guardrails that enable secure, scalable, resilient, and supportable solutions.
  • Apply Harness Engineering principles to embed governance and standards into delivery workflows.
  • Leverage AI and AI-DLC practices to accelerate solution exploration, architecture, planning, documentation, and delivery while maintaining ownership of recommendations.
  • Build and evaluate prototypes, reference implementations, agentic workflows, and technical spikes to validate approaches and reduce risk.
  • Champion responsible AI practices, including security, privacy, governance, observability, evaluation, and human oversight.

Desired Qualifications

  • Experience defining and scaling enterprise Data and AI platform strategies, operating models, and shared capabilities across multiple domains.
  • Experience applying modern architecture principles, including cloud-native, API-first, event-driven, and domain-oriented design, as well as AI-enabled workflows, generative AI, agentic AI, and RAG solutions.
  • Experience using ontologies, knowledge graphs, semantic layers, or knowledge-based architectures.
  • Experience scaling AI-assisted engineering practices that improve productivity, quality, reliability, or delivery speed.
  • Hands-on experience building or operating Model Context Protocol (MCP) servers or similar standards for connecting AI agents to enterprise systems.
  • Experience mentoring architects and technical resources to improve architectural decision-making and consistency.

About the Company

Koch Industries

Private conglomerate in energy and materials

Koch Industries is a large, private, diversified conglomerate that operates in energy, chemical processing, and manufacturing. It started from an innovation that turned heavy crude oil into gasoline and grew through long‑term investments rather than short‑term market moves. The company generates value by refining fuels and producing chemical products, and it operates Georgia-Pacific, a major maker of paper and building products. Its business model relies on reinvesting most earnings back into the company to fund steady, long‑term growth rather than paying out frequent dividends or seeking quick profits. Koch differentiates itself from many competitors by staying privately owned, which reduces pressure from public markets and enables longer‑range planning. The company’s goal is to build scale and durability across its holdings by sustainable, multi‑decade growth rather than rapid, episodic gains.

Company size
5,001-10,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$985.2M
Headquarters
Wichita, KS
Founded
1940

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