Description

KEY RESPONSIBILITIES
Lead architecture and technical direction for Enterprise Generative AI platforms
Architect Agentic AI platforms and agent runtime environments
Design model serving and inference infrastructure
Develop prompt engineering, evaluation, and testing frameworks
Establish AI governance, risk management, and guardrails
Drive AI observability, monitoring, and operational strategies
Define multi-cloud AI platform strategy and architecture
Design scalable and resilient cloud-native AI platforms

AI & CLOUD TECHNOLOGIES
Strong experience with one or more of the following:
Red Hat OpenShift AI (RHOAI)
Google Cloud Vertex AI
Google Gemini Models
Azure AI Foundry
Amazon Bedrock
Anthropic Claude
OpenAI Services & Models
Kubernetes / OpenShift
AWS / Azure / Google Cloud
STRATEGIC INITIATIVES

REQUIRED QUALIFICATIONS
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent education and experience.
10+ years of experience in Software Engineering, Infrastructure Engineering, Systems Architecture, or related technical disciplines
5+ years designing and implementing large-scale cloud-native platforms
Experience designing, deploying, and supporting highly available, mission-critical production systems
Strong experience with:
• Kubernetes and/or OpenShift
• Distributed Systems Architecture
• Public Cloud & Cloud-Native Architecture
• AI/ML Platforms & Infrastructure
• API & Integration Platforms
• Data Platforms & Data-Intensive Applications

AI/ML KNOWLEDGE
Must have strong knowledge of:
Generative AI Systems & Architectures
Retrieval-Augmented Generation (RAG)
Agentic AI Frameworks & Platforms
Model Serving & Inference Architectures
MLOps Practices & Tooling

Demonstrated ability to lead technical initiatives across multiple teams and stakeholders.
Must be able to work from or relocate to one of the approved locations listed above.

Key Skills

Education

Any Graduate