Feb 22, 2026

Principal AI Engineer (1119823)

Job Description

Location:

West Des Moines, IA

Salary: $150,000.00 USD Annually - $160,000.00 USD Annually

Description

Must Have Technical/Functional Skills

Seeking a highly accomplished Principal AI Engineer to lead the design, architecture, and delivery of enterprise scale AI and Machine Learning solutions. This role requires deep technical expertise in AI/ML, strong architectural vision, hands-on leadership, and the ability to drive AI strategy across the organization. The ideal candidate has extensive experience with advanced ML systems, GenAI/LLM solutions, and end to end AI platform development.

Key Responsibilities

AI Strategy & Technical Leadership

  • Define and drive the organization’s AI roadmap, architecture, and long-term technical vision.
  • Lead and mentor AI/ML engineers, data scientists, and cross-functional teams.
  • Evaluate emerging technologies and guide adoption of GenAI, LLMs, MLOps frameworks, and AI platforms.

AI/ML Architecture & Innovation

  • Architect scalable, high-performance machine learning and GenAI solutions for NLP, CV, predictive analytics, and automation.
  • Design and optimize LLM-powered systems, including RAG pipelines, fine-tuned models, and enterprise AI assistants.
  • Develop reusable AI frameworks, components, and internal toolkits to accelerate organization-wide AI development.

End-to-End AI System Development

  • Oversee full lifecycle: data architecture, feature engineering, experimentation, training, validation, deployment, and monitoring.
  • Build large-scale, cloud-native AI systems using Azure/AWS/GCP.
  • Establish standards for model quality, reliability, interpretability, and governance.

MLOps & Platform Engineering

  • Architect robust MLOps pipelines—CI/CD, model versioning, drift detection, automated retraining, monitoring.
  • Lead the development of AI platforms supporting multiple business teams and workloads.
  • Ensure production environments meet performance, scalability, and security requirements.

Cross Functional Collaboration

  • Partner with executives, product teams, and business leaders to identify AI opportunities.
  • Translate complex business problems into scalable AI solutions.
  • Represent AI architecture in technical reviews and decision-making processes.
  • Databricks, SQL, and data processing frameworks.

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Contact: tmangal@judge.com

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ID

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