Principal AI Engineer - Enterprise AI Solutions

About This Role

This Principal AI Engineer role is a pivotal technical leadership position focused on designing and implementing AI-powered solutions within the Enterprise AI Platform. The role operates at the intersection of AI innovation, top-tier engineering, and business outcomes, acting as a technical bridge between complex business problems and cutting-edge AI execution. It suits an engineer who can translate ambiguous problems into concrete AI solution designs and ensure their successful deployment and measurable impact.

Responsibilities

• Lead the applied AI solution design and architecture, breaking down ambiguous business problems into concrete, actionable AI solution designs
• Drive the hands-on development and implementation of key AI components, supporting both traditional and Generative AI model development and deployment
• Contribute significantly to the detailed design of large-scale, distributed AI/ML systems, ensuring performance, reliability, and security
• Proactively collaborate with executive leadership, data science, engineering, and product stakeholders to translate business use-cases into scalable AI solutions
• Provide technical leadership and mentorship to other AI/ML engineers, fostering a culture of engineering excellence and hands-on experimentation
• Lead the implementation and continuous improvement of MLOps pipelines, including automated model training, versioning, deployment, and monitoring
• Champion and enforce design standards, patterns, and best practices for scalable and secure development of AI applications across various teams
• Actively research and evaluate cutting-edge AI/ML techniques, algorithms, and models to identify opportunities for platform enhancement and new solution development

Requirements

• Bachelor's degree in a related field or equivalent military experience
• 12+ years of related experience, or a Master's degree with 8 years of experience, or a PhD with 5 years of experience
• Proven expertise in designing and building complex, enterprise-grade AI/ML platforms and applications
• Direct hands-on experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems
• Strong programming skills in languages such as Python, Java, or Go and proficiency in modern AI/ML frameworks (e.g., TensorFlow, PyTorch)
• Extensive hands-on experience with distributed systems architecture, streaming data platforms, and cloud AI/ML platforms (e.g., GCP Vertex AI, AWS SageMaker)

Nice to have:

• Master's degree or Ph.D. in Computer Science, Machine Learning, or a related technical field
• Experience contributing to open-source AI projects or publications in top-tier AI conferences