Forward Deployed Engineer

The Forward-Deployed AI Engineer will transform MISO's most important business challenges into practical, production-ready AI solutions. Working side-by-side with domain experts, this role blends data, AI, and software engineering to rapidly design, build, and deploy intelligent applications and agents.

What You Will Do

You will own the full lifecycle from problem discovery through production adoption, ensuring each solution delivers clear and measurable business value. By developing secure, reliable, and reusable AI components within MISO's enterprise standards, this role accelerates innovation and reduces reliance on external vendors.

Why It Might Be a Fit

Success in the first year is demonstrated by faster delivery of priority AI use cases, measurable improvements in decision quality and operational efficiency, and solutions that meet defined performance and governance criteria in production.

Requirements

• Strong foundational education in computer science, engineering, data science, or a related technical field, with an advanced degree preferred.
• Extensive experience (15+ years) across software, data, AI/ML engineering, solution architecture, or product engineering, including hands-on delivery of production AI/ML solutions.
• Deep proficiency in modern programming languages—especially Python—and strong SQL skills, with the ability to design secure, scalable back-end services and APIs.
• Expertise integrating applications with enterprise data sources, APIs, cloud services, and distributed systems, ideally within a Microsoft Azure environment.
• Demonstrated experience with cloud-native engineering practices, CI/CD, automated testing, observability, production support, and containerization technologies.
• Strong applied knowledge of generative AI, agent orchestration, retrieval-augmented generation, prompt/context engineering, and AI evaluation frameworks.
• Ability to translate complex business workflows into robust technical solutions by working directly with domain experts and converting operational needs into actionable requirements.
• Familiarity with AI observability, governance, human-in-the-loop workflows, and model reliability practices to ensure safe and effective production AI operations.

Benefits

• 401k
• vacation
• sick and safe time