Vice President, AI Platform Engineering
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Job Location:
Santa Clara County, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
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-generation AI platform. Reporting directly to the Chief AI Officer this executive will build the foundation that powers AI-native products and intelligent agentic systems across the organization.
This is a high-impact opportunity to shape the enterprises AI platform strategy from the ground up enabling rapid experimentation deployment and governance of AI at scale. Youll 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
Bachelors degree in Computer Science Engineering or related field (advanced degree preferred).
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-native 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 youre passionate about building AI platforms that redefine how organizations operate wed love to connect.
Required Experience:
Exec
Key Skills
- React Native
- AI
- Enterprise Software
- React
- Node.js
- Redis
- AWS
- Software Development
- IOS
- Team Management
- Product Development
- Mobile Applications
About Company
Over a dozen years of talent acquisition and recruiting experience to set you on the right path. Find out more "When we work with you, we roll up our sleeves and become your business partner. Our success is measured by the success of your company. That's why we invest whatever resourc ... View more
