Data & AI Solutions Architect

Koch Business Solutions, LP
Atlanta, GA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Cloud Computing Cloud Engineering Data Systems Graph Database Snowflake Generative AI Data Layers Microsoft Fabric AI Platforms
+3 more
Data Management Virtual Agents Api Design

Job description

life insurance, parental leave United States, Georgia, Atlanta Sep 25, 2026

Your Job

Koch Technology Data Solutions (KTDS) is seeking a Data & AI Solutions Architect to shape the future of data, analytics, automation, and AI across Koch.

In this role, you will partner with business leaders, engineers, product teams, and subject matter experts to solve complex business challenges. You will translate business outcomes into scalable solutions, guide technology decisions, establish reusable patterns, and accelerate delivery through modern Data & AI architectures. The ideal candidate is an AI-native architect who uses AI as both a solution capability and a core part of how they work. You rapidly explore options, validate ideas through prototypes, and determine where AI, automation, software, data products, or process improvements create the greatest value., * Partner with stakeholders to understand business outcomes and translate them into scalable Data & 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.

Requirements

  • Experience translating business outcomes into scalable Data & AI architectures and influencing technical direction across teams.
  • Experience designing end-to-end Data & 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 strong stakeholder management and influence skills.

What Will Put You Ahead

  • Experience defining and scaling enterprise Data & 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

KT Data Solutions builds and operates reusable data, analytics, and AI capabilities that help teams make better decisions, automate work, and unlock new opportunities across Koch. We operate in a data-centric way-treating trusted, governed, and reusable data products as shared enterprise assets that provide the context for analytics, automation, and AI. Our vision is to compound value through trusted data, reusable platforms, and AI-enabled solutions that scale across the enterprise., All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here., Koch creates and innovates a wide spectrum of products and services that make life better. Our work spans a vast number of industries across the world, including engineered technology, refining, chemicals and polymers, pulp and paper, glass, electronics and many more. Headquartered in Wichita, Kansas, Koch employs about 120,000 employees across the globe.

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

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