Principal AI Engineer - West Des Moines, IA

Only for registered members West Des Moines, IA, United States

2 days ago

Default job background
$210,000 - $310,000 (USD) per year *
* This salary range is an estimation made by beBee
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 M ...
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/Google Cloud Platform.

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:
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