Vice President, AI Platform Engineering in Santa Clara

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Job DescriptionJob Description

Vice President, AI Platform Engineering

About the Role

A leading enterprise undergoing a bold AI transformation is seeking a Vice President of AI

Platform Engineering to architect and scale its next- AI platform. Reporting directly to the Chief AI Officer, this executive will build the foundation that powers AI- products and intelligent agentic systems across the organization.

This is a high-impact opportunity to shape the enterprise's AI platform strategy from the ground up — enabling rapid experimentation, deployment, and governance of AI at scale. You'll collaborate closely with product, data, infrastructure, and security leaders to convert cutting-edge AI innovation into measurable business outcomes.

Key Responsibilities

• AI Platform Strategy: Define and execute the enterprise AI platform vision, ensuring scalability, security, and cost efficiency for AI product and agent development.

• Platform Architecture: Design and operate robust AI/ML platforms including model lifecycle management, feature stores, vector databases, orchestration frameworks, observability, and governance tooling.

• Agentic Systems Enablement: Build foundational capabilities to support multi-agent systems, LLM deployments with RAG, orchestration frameworks, and agentic SDKs.

• MLOps and LLMOps Excellence: Establish CI/CD pipelines, model evaluation, and monitoring systems to ensure safe, fast, and reliable AI deployments.

• Security & Governance: Partner across functions to implement responsible AI practices, data privacy controls, auditability, and governance standards.

• Data & Integration: Collaborate with Data Engineering on lakehouse architecture, semantic layers, and real-time data flows that power AI applications.

• Cross-Functional Alignment: Lead through structured governance forums to ensure AI platform priorities align with enterprise strategy and shared business outcomes.

• Team Leadership: Build and lead a world-class AI platform engineering organization with a culture of technical excellence, accountability, and innovation.

• Vendor & Ecosystem Strategy: Evaluate and integrate best-in-class AI technologies and cloud solutions to accelerate transformation.

• Optimization: Drive performance, reliability, and cost optimization across AI workloads and infrastructure.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (advanced degree ).

• 12+ years of engineering leadership experience, including 5+ years in AI/ML platform engineering or large-scale distributed systems.

• Proven track record of building and scaling enterprise AI platforms or AI infrastructure at scale.

• Deep expertise in MLOps, LLMOps, modern ML frameworks (e.g., PyTorch, TensorFlow), vector databases, RAG, and AI agent orchestration.

• Strong understanding of AI security, governance, and operational performance metrics.

• Demonstrated success in productionizing AI- applications and integrating agentic workflows into business operations.

• Exceptional communication, strategic influence, and cross-functional leadership skills.

Why Apply?

This is a rare opportunity to shape the foundation of an enterprise-wide AI transformation — with the autonomy, executive visibility, and resources to deliver real innovation at scale. If you're passionate about building AI platforms that redefine how organizations operate, we'd love to connect.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.