Job description

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. Our Team 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. Location: This role can be located in Wichita, KS / Atlanta, GA / Plano, TX and requires an in-office presence with flexibility. This role is not eligible for VISA sponsorship. What You Will Do • 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. Who You Are (Basic Qualifications) • 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. At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. Hiring Philosophy 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 . Who We Are 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. Our Benefits Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter. Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results. Equal Opportunities Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aquí , or tu ). #LI-NK1

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

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aiapiaws

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Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Parental Leave