Sr. Software Engineer at Koch

Job description

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. Our Team 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 What You Will Do • 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. Who You Are (Basic Qualifications) • 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. What Will Put You Ahead • 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 DevSecOps 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 Computer Science, Engineering, or a related field. 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

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.
Who You Are (Basic Qualifications)
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.
What Will Put You Ahead
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 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 Computer Science, Engineering, or a related field.
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 .

Nice-to-haves

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Platform: avature
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Parental Leave