Sr. Software Engineer

Your Job

Koch Technology Data Solutions (KTDS) is seeking a Senior Software Engineer to design, build, and support secure, scalable data, software, and AI-enabled solutions. This role combines hands‑on engineering with solution architecture, leading complex initiatives and applying AI-DLC practices to deliver reusable solutions that create measurable business value. The ideal candidate is a technically strong engineer who enjoys solving complex problems, shaping solution strategy, and leveraging emerging AI capabilities to accelerate delivery and drive impact.

KTDS develops reusable data products, semantic layers, ontologies, and AI‑ready capabilities that help teams make better decisions, accelerate work, and unlock new opportunities. We combine business context, modern technology, and AI‑enabled delivery practices to create solutions that scale across Koch.

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

• Lead the design and delivery of AI, data, and software solutions across multiple systems, including data pipelines, APIs, applications, agents, automations, and AI‑enabled workflows.
• Apply AI-DLC practices to accelerate development while ensuring solution quality, security scalability, and operational readiness.
• Partner with architects, capability leaders, SMEs, and users to translate business needs into supportable technical solutions.
• Design and operationalize generative AI, agentic AI, semantic layer, and retrieval‑augmented generation (RAG) capabilities using modern integration standards such as MCP.
• Drive sound technical decisions by balancing architecture, delivery timelines, risk, operational support, and long‑term maintainability.
• Mentor engineers through technical leadership, design reviews, code reviews, and hands‑on coaching while contributing directly to solution delivery.
• Continuously evaluate emerging AI models, frameworks, and engineering practices to improve solution outcomes.

• Demonstrated experience designing, building, deploying, and supporting production software, data, and AI‑enabled solutions.
• Experience leading technical design, architecture, or implementation efforts across large‑scale, multi‑team initiatives.
• Experience mentoring engineers through design reviews, code reviews, technical guidance, or pair programming.
• Demonstrated experience using Python and SQL to develop production applications, including source control, automated testing, CI/CD, observability, and orchestration practices.
• Experience building and supporting cloud‑native solutions on AWS, including serverless, event‑driven, and containerized applications.
• Experience communicating technical concepts and solution trade‑offs to technical and business stakeholders.

• Experience implementing AI‑enabled solutions using graph databases, graph query languages, large language models, embeddings, retrieval‑augmented generation (RAG), and MCP or similar agent integration standards.
• Experience designing verification systems for AI‑assisted and AI‑generated output, spanning automated testing, evaluation harnesses, observability, and review gates that hold AI‑accelerated delivery to production standards
• Experience designing and operating distributed, API‑driven systems using modular architecture patterns such as microservices, event‑driven architecture, and hexagonal architecture, with sound judgment about when each pattern is appropriate
• Experience applying production engineering and Dev Sec Ops  practices, including infrastructure as code, automated security controls, feature flags, secrets management, and progressive deployment strategies such as blue-green, canary, and rolling deployments
• Experience with Microsoft Fabric (including Fabric IQ), Snowflake, Azure AI Foundry, Databricks or other enterprise data/AI platforms, useful for engineers who may support data solutions across multiple KTDS domains
• Experience designing and deploying agentic AI for conversational or action‑oriented use cases
• Bachelor's or Master's degree in…