AI Governance Engineer

Midcontinent Independent System Operator (MISO) • Carmel, IN

4d • $173,000 - $198,000 • Onsite

About The Position

As MISO's AI Governance Engineer, you will help build and evolve the enterprise AI governance framework as the organization expands its use of generative and agentic AI. You will develop practical guardrails, controls, processes, and oversight mechanisms that enable responsible and secure AI use while supporting innovation. You will help create a scalable, risk-based approach for registering, evaluating, monitoring, and governing AI solutions, including internally developed, purchased, and vendor-embedded technologies.

You will work closely with partners across technology, security, compliance, HR, and business teams to establish governance practices that can be adopted across the organization. The role requires ongoing learning, curiosity, and continuous refinement of governance processes and standards as AI technologies and risks evolve. The ideal candidate has experience in AI engineering, software development, data engineering, or related disciplines, and takes a collaborative, hands-on approach to complex challenges and balancing innovation with risk management.

The role owns the technical vision, architecture, and roadmap for an enterprise AI governance platform, building and operating it as a scalable internal product. It establishes repeatable risk-tiered governance, including measurement, evaluation, monitoring, and incident response; delivers a central AI registry and intake process; and builds automation for registration, observability, and evidence capture. It also develops reusable evaluation tooling for ML, generative AI, and agentic systems, defines and tests monitoring and response practices, and reports on AI quality, usage, cost, and value. The position is eligible for an annual bonus if individual performance and company objectives are met. MISO offers a comprehensive benefits package, including 401k, vacation, sick and safe time, available on the first day of employment. Appropriate level will be determined based upon experience and knowledge.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field; a master’s degree, relevant certifications, or equivalent experience may also be considered.
• 8+ years of experience in software, data, or machine learning engineering, including at least 3 years building or evaluating production ML or AI solutions.
• Experience designing, building, and operating shared platforms or internal products used across multiple teams.
• Solid understanding of model training, evaluation, and failure modes, with the ability to design sound evaluation approaches.
• Hands-on experience with AI-assisted development tools.
• Experience in two or more of the following: evaluating or monitoring ML, generative AI, retrieval-augmented, or agentic systems; observability, telemetry, or alerting for production systems; test automation or quality engineering for non-deterministic systems; MLOps/LLMOps, including experiment tracking, versioning, and model or artifact registries; data quality and validation practices for AI-relevant datasets; or cloud cost management or usage analytics.

Nice To Haves

• Master’s degree or other advanced degree.
• Familiarity with AI governance or risk frameworks such as NIST AI RMF or ISO/IEC 42001.
• Background in statistics or experiment design.
• Experience in the energy industry.
• Relevant certifications, including IAPP AI Governance Professional (AIGP), Microsoft Azure AI Apps and Agents Developer Associate (AI-103), Microsoft Azure Machine Learning Operations Engineer Associate (AI-300), or ISO/IEC 42001 certification.

Responsibilities

• Own the technical vision, architecture, and roadmap for the enterprise AI governance platform, building and operating it as a scalable internal product.
• Define a repeatable, risk-tiered governance framework covering measurement, evaluation, monitoring, and incident response so teams can apply appropriate controls to AI solutions.
• Deliver a central AI registry and intake process to identify, register, and tier high-risk and high-visibility AI systems across the enterprise.
• Build automated capabilities for registration, observability, and evidence capture, ensuring traceability across data, models, prompts, versions, and evaluations from deployment onward.
• Create reusable evaluation tooling for ML, generative AI, and agentic systems, and validate that governance measures and model-based evaluations are accurate and continuously improving.
• Define monitoring thresholds, incident-response protocols, and rollback runbooks for AI failure, degradation, or policy violations, and validate them through exercises such as tabletop tests.
• Provide leadership with reporting on AI quality, usage, cost, and value.
• Collaborate with security, privacy, compliance, risk, and the AI Working Group to drive consistent governance adoption.
• Continuously learn and refine governance processes and standards as AI technologies and risks evolve.

Benefits

• Annual bonus if individual performance and company objectives are met.
• Comprehensive benefits package, including 401k, vacation, sick and safe time, available on the first day of employment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior