Position Summary:
We are seeking a highly experienced Senior AI Cloud & Security (Multi-Cloud) to serve as the Architectural Deployment Lead for our high-stakes AI Qualified Services delivery. The role involves leading the end-to-end deployment strategy for complex AI stacks across Multi-Cloud (AWS, GCP), Hybrid, and strictly On-Prem environments. You will act as the Security & Compliance Authority, enforcing hardening standards, Zero-Trust network access, and global compliance frameworks (GDPR, HIPAA, SOC2) for our AI deliveries. As a technical leader, you will bridge the gap between AI development and customer environment integration, overseeing critical implementations such as AI SOC, OpenShift AI, and Cybersecurity AI Agents.
Key Responsibilities:
- Architectural Leadership: Lead the deployment strategy and execution for Enterprise AI Infrastructure, including AI SOC, OpenShift AI, and AI-based Cybersecurity Log Optimization services.
- Security & Compliance: Define and enforce security hardening standards and Zero-Trust architectures for all AI deliveries,
ensuring full compliance with GDPR, HIPAA, and SOC2 frameworks.
- Process Automation: Develop standardized deployment blueprints and "Infrastructure as Code" (IaC) templates to ensure repeatable, error-free customer rollouts and minimize manual intervention.
- Complex Implementation: Manage complex tenant isolation, Software Defined Networking (SDN), and storage integration for Managed AI Service Providers (MSSPs) and Model Context Protocol (MCP) servers.
- Production Support: Act as the highest technical point of contact for troubleshooting critical deployment failures, performance bottlenecks, and network connectivity issues in production environments.
- Mentorship: Mentor junior deployment engineers and provide technical guidance to ensure best practices in AI stack deployment and security.
- Service Enablement: Drive the implementation of specialized services including Cybersecurity AI Agents and MCP
📌 Senior Security Consultant (Pune)
🏢 Gruve
📍 Pune