Forward Deployed Engineer

As a Forward Deployed Engineer on the Koch Risk Optimization team , you will serve as an embedded technical partner and full-stack builder who creates production-ready applications , data analytics solutions , and generative AI workflows to solve complex risk, financial, and investment challenges .

Y ou will collaborate directly with risk capability leaders , quantitative analysts , and technology support groups to rapidly prototype, deploy, and own high-impact technical solutions across market risk, credit risk, insurance and investments domains.

If you are an entrepreneurial builder who leverages AI-assisted development tools daily to multiply your engineering velocity and wants direct ownership of mission-critical systems and solutions , this role offers an unmatched platform to create value.

This role is not open to Immigration Sponsorship now or in the future.

Our Team

Koch Risk Optimization creates long-term value by driving risk-adjusted decision making, capital allocation, and risk absorption across Koch companies globally. O ur team partners with commercial, trading, insurance , treasury and investment capabilities to optimize portfolio risk-return outcomes. We foster an entrepreneurial, high-agency environment that pairs deep domain expertise with cutting-edge technology to turn complex market and financial uncertainties into strategic advantage .

What You Will Do

• Embedded technical partner and full-stack builder:
  Work side-by-side with domain experts to b uild, deploy, operate , and improve systems that support risk /reward optimization for significant commercial , trading, and capital allocation activities across Koch . Take the lead on r equirements gathering, prototyping, full-stack development and follow-through to deliver useful analytics, applications and AI solutions that result in better decisions.
• Work across teams to enhance operational outcomes :
  Connect and collaborate with existing technical support resources to augment your capabilities , f oster ing partnerships based on mutual benefit and comparative advantage ; drive towards a common goal of maintain ing stable and reliable performance for applications and systems used by the Risk Optimiz ation team.
• Lead AI-native engineering practices to enhance our team’s execution speed and expand our capabilities :
  Champion AI-native software engineering methodologies to accelerate output and expand technical operational range across the team. Partner with Risk Optimization team members to c ontribute additional expertise towards development and deployment of models and analytics so we can be more responsive to business needs.
• Develop and support innovative Gen AI workflows and agents: T he Risk Optimization team has deployed numerous Gen AI solutions across the enterprise , with a n active project pipeline ; you will play an integral role in our strategy to lead on the frontier of generative AI at Koch .
• Uphold enterprise architecture standards :
  Collaborate with enterprise architecture leaders and support groups to maintain robust identity, security, data and platform governance standards across all deployed systems.

Who You Are (Basic Qualifications)

• Professional experience in both front-end and back-end software engineering .
• Experience building, deploying, and operating applications in an enterprise cloud environment (e.g., AWS, Azure, GCP).
• E xperience using AI-na tive developer too ling ( e.g. Claude Code, Cursor, Git Hub Copilot, etc.) , to accel erate software design, im plementation , and refactor in g while carefully managing the quality and maintainability of outputs.
• Experience directly collaborating with business stakeholders and end users to translate business requirements into working software solutions.
• Experience supporting & maintaining applications in production .
• Interest and excitement for learning about financial markets, investments, and commodities trading .

What Will Put You Ahead

• Experience operating as an embedded engineer within a business unit or trading/investment environment with high autonomy and direct decision rights.
• W illingness to learn unfamiliar systems and business areas and collaborate with other groups to accomplish complex goals.
• Experience designing and implementing generative AI workflows, skills, and agents.
• E xperience designing and deploying end-to-end data pipelines and database architectures (relational, document, or cloud data warehouses) , including e xperience with Snowflake, dbt , or other modern data stack…