Forward Deployed Engineer

MISO • Carmel, IN

4d • Onsite

About The Position

The Forward-Deployed AI Engineer transforms MISO’s business challenges into practical, production-ready AI solutions. Working closely with domain experts, the role combines data, AI, and software engineering to design, build, and deploy intelligent applications and agents. The engineer owns the full lifecycle—from problem discovery through production adoption—and ensures solutions deliver measurable business value while meeting enterprise security, reliability, performance, and governance standards.

The role develops reusable AI components and patterns, helping accelerate innovation, reduce reliance on external vendors, and enable internal teams to operate and extend deployed solutions independently. Success includes faster delivery of priority AI use cases, improved decision quality and operational efficiency, and production solutions that meet defined performance and governance criteria.

MISO manages the electricity grid and energy market across the Central United States, helping ensure reliable power for 45 million Americans.

Requirements

• Strong foundational education in computer science, engineering, data science, or a related technical field.
• 15 or more years of experience 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.
• Ability to design secure, scalable back-end services and APIs.
• Experience integrating applications with enterprise data sources, APIs, cloud services, and distributed systems.
• Experience with cloud-native engineering practices, CI/CD, automated testing, observability, production support, and containerization technologies.
• Applied knowledge of generative AI, agent orchestration, retrieval-augmented generation, prompt and 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 for safe and effective production AI operations.

Nice To Haves

• An advanced degree in computer science, engineering, data science, or a related technical field.
• Experience working within a Microsoft Azure environment.

Responsibilities

• Partner with business teams and domain experts to understand workflows, identify operational challenges, and translate expertise into technical requirements and solution designs.
• Lead AI and agentic solution delivery end to end, including discovery, architecture, data integration, testing, deployment, observability, and continuous improvement.
• Produce working increments rapidly using governed production or representative data, demonstrating progress to domain experts on an iterative cadence.
• Design and implement AI applications, copilots, agents, retrieval pipelines, APIs, and automation that integrate with MISO’s enterprise technology environment and standards.
• Establish evaluation methods and safety measures to validate accuracy, reliability, hallucination risk, workflow completion, and business usefulness against defined thresholds.
• Build composable architectures, reusable services, and model-agnostic patterns that reduce lock-in and support enterprise scaling.
• Create runbooks, documentation, and reusable assets, and pair with internal engineers to transfer knowledge and support independent operation.
• Deliver measurable business outcomes, including faster delivery from discovery to production, improved decision-making and efficiency, and solutions teams can operate and extend independently.

Benefits

• 401(k)
• Vacation, sick, and safe time available on the first day of employment
• Annual bonus eligibility when individual performance and company objectives are met

What This Job Offers

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