AI Architect

AI Architect

Koch Engineered Solutions (KES) is currently looking for an AI Architect to join our global Information Technology (IT) capability. The IT capability is a vital component of the KES strategy to improve business performance through the application of technology and to profitably transform our business. Our team operates with a startup mentality—working as an integrated group with the Engineering, Operations, Commercial, and Finance teams to design, build, and scale innovative solutions that transform KES work processes.

· Partner with Product and business teams to identify high-value AI and Generative AI use cases, then lead the technical solutioning process to build the detailed architecture for how AI will solve the problem.

· Consider the enterprise picture as part of AI solution design to produce reference architectures and patterns consistent with IT technical vision, data strategy, and responsible-AI standards

· Leverage expertise across multiple technical domains as part of the solutioning process (Machine Learning, GenAI/LLMs, Data Engineering, Security, Cloud Infrastructure, Application Integration, etc.)

· Lead the development and alignment of AI architecture strategy, patterns, and guardrails across the engineering & design organization.

· Experimentation - Identify, prototype, and evaluate emerging AI models, agentic frameworks, and tooling to solve problems new to the organization

· Establish and champion responsible AI practices – model governance, security, data privacy, evaluation, and ongoing monitoring of solutions in production

· Execute on initiatives as appropriate

· Experience in supporting discrete engineering & manufacturing

· Experience designing and deploying agentic AI – conversational and action-oriented AI agent platforms – to solve business problems

· Deep understanding of Generative AI and large language model architecture (transformer models, fine-tuning, RAG, embeddings, and prompt/context engineering)

· Experience operationalizing AI – LLMOps/MLOps practices for model deployment, evaluation, prompt and version management, monitoring, and drift detection

· Experience with vector databases and retrieval systems (e.g., Azure AI Search, pgvector, Pinecone)

· Experience with AI orchestration and agent frameworks (Lang Chain, Llama Index, Semantic Kernel, Auto Gen, or similar)

· Familiarity with Responsible AI and AI governance – safety, guardrails, bias mitigation, data privacy, and emerging regulatory requirements

· Experience with data architecture that supports AI (data lakes, graph/knowledge-graph technology, feature stores, and data pipelines)

· Technical experience with serverless and event-driven cloud services, microservices, and containers (e.g., Lambda/Azure Functions, SQS/SNS, Event Bridge, API Gateway, Docker, Kubernetes, AKS/ECS)

· Experience with Dev Ops and MLOps methodologies and tools (CI/CD, Git Hub, Azure Dev Ops)

that work together to create an ecosystem of domain expertise to increase operational efficiency, improve safety, reduce waste, and reduce emissions.

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.

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.