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AI Platform Architect

Zortech Solutions - Charlotte, NC

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Job Description

Role: AI Platform ArchitectLocation: Charlotte NC (Day 1 Onsite)Duration: 6+ Months Job Description: Key Responsibilities: • Design and architect scalable AI platforms to develop, deploy AI solutions leveraging ML techniques and Deep Learning Techniques. • Drive Joint Architecture Design to collaborating with business stakeholders, data scientists, engineering teams, product, and other key partners to gather functional, non-functional requirements for solving AI use case on the AI Platform • Evaluate emerging technologies and tools in AI area and do fitment analysis to the Enterprise AI Platform and capabilities strategy. • Define and implement AI/ML architecture best practices, frameworks, and standards. • Lead AI/ML infrastructure setup, including cloud services selection, data pipelines, and model deployment. • Ensure robustness, reliability, and scalability of AI/ML solutions in production environments. • Design and implement data governance, security, and compliance measures for AI/ML platforms. • Optimize AI/ML workflows for performance, cost efficiency, and resource utilization. • Provide technical leadership and mentorship to AI/ML development teams. • Communicate AI/ML architecture decisions and strategies to stakeholders and executives. Key Requirements: • Proven experience as an AI/ML platform architect • Deep understanding of ML algorithms, Deep Learning architecture, models, and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). • Expertise in cloud platforms (e.g., GCP, Azure) and their AI services. • Strong knowledge of Model development life cycle, software engineering principles, data engineering principles • Experience with containerization and orchestration tools on Prem and cloud (e.g., AKS, GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/ML models. • Ability to design and optimize distributed computing systems for AI/ML workloads. • Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-ML contexts. • Excellent problem-solving skills and ability to address complex technical challenges. • Effective communication skills to collaborate with cross-functional teams and stakeholders.

Created: 2026-03-10

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