AI Infrastructure Architect

Project Role : AI Infrastructure Architect
Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.
Must have skills : Secure AI
Good to have skills : NAMinimum
12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: Lead the design, governance, and implementation of Secure AI solutions across enterprise and client environments. Drive AI security architecture, GenAI risk management, Responsible AI adoption, and secure deployment of AI/ML platforms while ensuring compliance, scalability, and business value. Act as a trusted advisor to clients and lead large-scale AI security transformation initiatives.
Roles Responsibilities: Act as the SME for Secure AI, AI Security, and Responsible AI. Design and implement security architectures for AI, GenAI, LLM, and ML-based solutions. Conduct AI risk assessments, threat modeling, security testing, and AI red teaming activities. Define controls to address prompt injection, data leakage, model poisoning, adversarial attacks, model theft, and AI supply chain risks. Establish AI governance, Responsible AI, and AI security frameworks aligned with business and regulatory requirements. Lead Secure AI transformation programs, architecture reviews, and security assessments. Own delivery management, solution quality, stakeholder communication, and risk mitigation. Build strong client relationships, lead executive workshops, and serve as a trusted AI security advisor. Mentor teams and drive AI security capability development.
Professional Technical Skills: 12+ years of Cyber Security experience with strong expertise in AI Security, Secure AI, GenAI Security, or AI Governance. Experience securing LLMs, AI/ML platforms, AI applications, and GenAI deployments. Strong understanding of AI threat modeling, adversarial AI, prompt injection, model security, and AI risk management. Knowledge of NIST AI RMF, OWASP Top 10 for LLM Applications, MITRE ATLAS, Responsible AI, and AI governance frameworks. Experience with Azure AI, OpenAI, AWS Bedrock, Google Vertex AI, or similar AI platforms. Excellent client-facing, consulting, and stakeholder management skills.Additional Requirements Strong focus on client advisory, relationship building, and executive engagement. Experience leading large teams and delivering complex AI Security programs. Ability to work from client locations (5 days/week) as required. Relevant certifications preferred: CISSP, CCSP, Azure AI Engineer, AI Security, or Responsible AI certifications. The candidate should have minimum 12 years of experience in Secure AI. This position is based at our Mumbai office. A 15 years full time education is required.
Qualification 15 years full time education