Principal Engineer-AI/ML with Infra Domain

Looking for Principal Engineer IaC, AI/ML Infra Engineer

Location: Plano, TX

What you ll be doing

• Define features and technical specifications for self-service infrastructure platforms tailored to edge environments in manufacturing and distribution centers.
• Architect scalable, secure, and resilient edge platform that supports AI Factory workloads and GPU - accelerated processing.
• Integrate AI/ML inference pipelines at the edge, leveraging GPU resources for real time decision making and predictive analytics.
• Design and implement IIoT Edge and Kubernetes platforms, to run cloud-native applications at manufacturing plants.
• Develop Hybrid Cloud blueprints for seamless integration with Public Cloud services, ensuring consistent deployment and observability.
• Lead cloud migration efforts, pilot emerging platform features, and collaborate with cross-functional teams.
• Coach engineers on clean coding practices (TDD), conduct code and architecture reviews, and drive technical consensus.
• Drive innovation in enterprise storage architecture, evolving beyond traditional management to enable scalable, high-performance, and cost-efficient solutions.
• Lead initiatives to integrate edge-aware storage strategies, GPU-optimized data pipelines, and AI Factory requirements.
• Architect next-generation backup and recovery frameworks with automation, intelligent tiering, and real-time replication across hybrid environments.

Education:

• Bachelor s degree in a relevant field such as Computer Science, Information Technology, Electrical Engineering, or a related discipline is typically required.
• Advanced degrees (Master s or higher) in these fields or specialized areas like Cloud Computing, Data Science, or AI/ML can be advantageous but are not explicitly required.
• Professional certifications are preferred, including:
• Cloud architecture certifications (e.g., AWS Solutions Architect, Microsoft Azure Expert)
• Kubernetes certifications (e.g., Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD))

Experience / Technical Skills:

• 7 years of experience in infrastructure engineering, with at least 3 years focused on edge computing, hybrid cloud, or AI/ML workloads.
• Deep understanding of edge computing architectures, IoT protocols, and resource-constrained environments.
• Hands-on experience with Kubernetes, container orchestration, and cloud-native application design.
• Proficiency in GPU-accelerated workloads (e.g., CUDA, TensorRT) and AI/ML inference deployment at the edge.
• Strong knowledge of hybrid cloud platforms and integration patterns.
• Experience with enterprise storage modernization, including object storage, NVMe, and backup/recovery automation.
• Proven track record in clean coding practices, including TDD, CI/CD pipelines, and DevSecOps principles.
• Ability to lead architecture reviews, mentor engineers, and drive technical consensus across teams.
• Strong cross-functional collaboration skills, especially with AI/ML, DevOps, and manufacturing teams.
• Excellent communication and documentation skills, with the ability to evangelize technical strategies and best practices.

Problem-Solving:

• Excellent analytical and problem-solving skills with the ability to manage multiple complex projects simultaneously.

Communication:

• Strong communication and interpersonal skills to effectively collaborate with diverse stakeholders across the organization.

Additional Knowledge:

• Familiarity with ITIL or other IT service management frameworks is a plus.

Preferred:

• Experience with AI Factory platforms, federated learning, or edge AI model lifecycle management.
• Familiarity with industrial protocols (e.g., OPC UA, Modbus) and manufacturing IT environments.
• Certifications in cloud architecture (e.g., AWS Solutions Architect, Azure Expert) or Kubernetes (CKA/CKAD).