AI-ML Platform Tech Lead & Arch

AI-Client Platform Tech Lead & Arch

Location: Concord, CA/SFO/ Charlotte NC

Key Responsibilities:

· Design and architect scalable AI platforms to develop, deploy AI solutions leveraging Client 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/Client architecture best practices, frameworks, and standards.

· Lead AI/Client infrastructure setup, including cloud services selection, data pipelines, and model deployment.

· Ensure robustness, reliability, and scalability of AI/Client solutions in production environments.

· Design and implement data governance, security, and compliance measures for AI/Client platforms.

· Optimize AI/Client workflows for performance, cost efficiency, and resource utilization.

· Provide technical leadership and mentorship to AI/Client development teams.

· Communicate AI/Client architecture decisions and strategies to stakeholders and executives.

Key Requirements:

· Proven experience as an AI/Client platform architect

· Deep understanding of Client algorithms, Deep Learning architechture, 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 onprem and cloud (e.g., AKS, GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/Client models.

· Ability to design and optimize distributed computing systems for AI/Client workloads.

· Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-Client contexts.

· Excellent problem-solving skills and ability to address complex technical challenges.

· Effective communication skills to collaborate with cross-functional teams and stakeholders.