AI Engineer

MISO•Carmel, IN

2d•$168,000 - $193,000•Onsite

About The Position

MISO is hiring an AI Engineer to build and scale AI-powered solutions that directly influence how the power grid is planned, operated, and optimized. In this role, you’ll apply artificial intelligence and cloud-native technologies to predict grid conditions, enhance real-time reliability, and enable smarter decisions across one of North America’s most complex energy systems. You’ll join our Emerging Technology team, collaborating with curious, forward-thinking engineers and data professionals to design, test, and deploy innovative prototypes. This team explores cutting-edge technologies and turns concepts into solutions with real potential for enterprise-wide impact. If you’re excited to experiment, learn, and make a tangible difference for millions of people who rely on the grid every day, this role puts your work where it truly matters.

Requirements

A Bachelor’s degree in Computer Science, Software Engineering, Data Science, Data Analytics or related field.
3+ years of real-world experience building AI or machine learning.
Hands-on experience working with generative AI and large language models like prompt engineering, fine-tuning models, building Retrieval-Enhanced Generations (REG) pipelines, or experimenting with agent frameworks.
Actual development in Retrieval-Enhanced Generation (REG) and Generative AI in an industry setting.
Strong programming skills in Python and R (including libraries like scikit-learn, PyTorch, or TensorFlow for machine learning development).
Hands-on experience designing and building scalable APIs (REST; gRPC).
Experience integrating AI/LLM tools such as OpenAI, Azure OpenAI, or Anthropic APIs into applications
Familiarity with version control (Git), CI/CD pipelines, and deploying applications in containerized environments (Docker; Kubernetes awareness).

Responsibilities

Building AI that matters - designing, prototyping, and deploying machine learning, generative AI, and intelligent agent solutions that directly support grid reliability and smarter decision-making.
Experimenting at the edge of what’s next , testing emerging tools, frameworks, and APIs (like OpenAI, Hugging Face, and Vertex AI), and helping to shape recommendations for how AI is used across MISO.
Turning ideas into reality by collaborating in fast-paced ideation sessions to create prototypes, minimum viable products (MVPs), and scalable solutions that move from concept to production.
Enabling AI at scale helping design and evolve the AI platforms and pipelines that power both batch and real-time inference, making advanced techniques accessible to data scientists and engineers.
Growing MISO as an AI leader, staying current on the latest advancements in AI and share insights with teammates and stakeholders, influencing how emerging technologies are adopted across the organization.
Collaborating with a multidisciplinary team of data scientists, data engineers, and software engineers to produce AI solutions, helping bring emerging technologies into a mission-critical energy environment.