Starting Salary Range: $165,000 – $187,000 – position is also eligible for an annual bonus if individual performance and company objectives are met.

MISO is hiring an AI Data Architect who’s excited to shape the future of artificial intelligence in the energy industry. In this role, you’ll put your expertise to work building secure, scalable AI platforms in the Microsoft Azure ecosystem – driving real-time analytics, predictive maintenance, grid optimization, and market operations. You’ll collaborate with data scientists, engineers, and business leaders to bring innovative ideas to life while keeping reliability and sustainability at the center. The right person will blend deep AI/ML and cloud know-how with an understanding of the energy industry’s unique compliance and operational needs. If you’re ready to lead at the crossroads of cutting-edge technology and critical energy infrastructure, we’d love to talk.

What you’ll do as MISO’s AI Data Architect:

• Integrate AI capabilities into energy trading systems, grid management tools, asset monitoring platforms, and market analytics dashboards.
• Lead proof-of-concept initiatives for emerging AI technologies and their application to energy operations.
• Partner with data scientists and engineers to implement ML models with MLOps best practices in Azure.
• Work side by side with Enterprise Architecture to ensure every solution aligns with the company’s long-term strategy and technology roadmap.
• Mentor business teams, partners, and domain experts while setting clear frameworks, guardrails, and accelerators that make delivery smoother and faster.
• Propose new solutions that can serve multiple teams, while documenting the “why” behind architectural choices so everyone is aligned.
• Communicate across all levels of the organization, lead critical discussions on cost and technology tradeoffs, and champion continuous improvement.

Experience/Skills needed for our Data AI Architect:

• Proven expertise with the Azure ecosystem, including Azure ML, Synapse, Data Factory, Data Lake, Cognitive Services, and Azure OpenAI, plus hands-on experience with MLOps tools like MLflow and Azure DevOps.
• Designing secure, scalable solutions using data modeling, ETL processes, data warehousing, APIs, and event/stream processing.
• Proficiency in Python, R, SQL, and experience with tools like Power BI, Tableau, or Azure Analysis Services.
• Deep understanding of cloud-native design (IaaS, PaaS, SaaS), along with CI/CD automation for data and AI solutions.
• Ability to align AI adoption with business goals, mentor teams, communicate complex ideas clearly, and stay ahead of AI/ML, cloud, and energy system trends.
• Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field.
• 8+ years in data/AI roles, including 3+ years in architecture.

Appropriate level will be determined based upon experience and knowledge.