Field-Deploy AI Engineer: From Discovery to Production

Midcontinent Independent System Operator, Inc.; Carmel (IN); On-site; USD 190,000 - 215,000; Full time

Benefits offered by this job

401k

Vacation and sick time

Benefits on day one

Job summary

Midcontinent Independent System Operator, Inc. is seeking a Forward-Deployed AI Engineer to transform business challenges into production AI solutions.

You will own end-to-end delivery, partnering with domain experts to translate workflows into technical designs, and build reusable AI components aligned with enterprise standards. You'll lead AI/ML solution delivery across data integration, APIs, and cloud-native pipelines, focusing on safety, observability, and governance while delivering

Qualifications

• 15+ years in software, data, AI/ML engineering and related delivery.
• Strong Python and SQL, with backend services design.
• Experience with cloud-native engineering and CI/CD.
• Ability to translate business workflows into technical requirements.

Responsibilities

• Lead AI and agentic solutions end-to-end from discovery to production.
• Collaborate with domain experts to translate needs into designs.
• Develop secure, scalable APIs and integration with enterprise data.
• Establish governance, observability, and safety measures for models.

Skills

Python

SQL

AI/ML engineering

Solution architecture

APIs

Observability

Data integration

Distributed systems

Cloud engineering

CI/CD

Education

Bachelors in Computer Science

Bachelors in Data Science

Bachelors in Engineering

Tools

Azure

Docker

Kubernetes

APIs

Job description

Midcontinent Independent System Operator, Inc. is seeking a Forward-Deployed AI Engineer to transform business challenges into production AI solutions.

You will own end-to-end delivery, partnering with domain experts to translate workflows into technical designs, and build reusable AI components aligned with enterprise standards. You'll lead AI/ML solution delivery across data integration, APIs, and cloud-native pipelines, focusing on safety, observability, and governance while delivering