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 : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Implement cyber security tools, processes, controls ,(AI and GenAI solutions across their lifecycle. Secure AI applications, models, data, integrations, and usage by applying preventive, detective, and responsive security controls. Work with AI, application, data, cloud, and cyber security teams to operationalize Secure AI requirements and reduce risks such as prompt injection, data leakage, model abuse, adversarial attacks, and insecure AI supply chains.) AI, GenAI, LLM, and machine learning solutions. The role focuses on translating AI security risks and policies into practical controls, tools, processes, monitoring, testing, and remediation across the AI lifecycle. The individual will work with cyber security and AI delivery teams to embed security into AI use cases without owning AI infrastructure design or enterprise AI architecture.
Roles & Responsibilities:
- Act as the Secure AI subject matter expert for implementing and operating security controls across AI and GenAI use cases.
Implement and integrate cyber security tools and technologies to protect AI applications, models, training and inference data, APIs, plugins, agents, and third-party AI services.
Define and operationalize Secure AI processes, control standards, security requirements, review gates, exception handling, and remediation workflows across the AI lifecycle.
Conduct AI security assessments, threat modeling, control validation, vulnerability testing, AI red teaming, and security reviews before and after deployment.
Take Accenture Security assets such as Cyber.ai to clients.
Implement preventive and detective controls for prompt injection, sensitive data leakage, insecure outputs, excessive agency, model poisoning, adversarial attacks, model theft, access misuse, and AI supply chain risk.
Configure security monitoring, logging, alerting, incident response, and investigation procedures for AI and GenAI environment .
- Management, data protection, secrets management, API security, application security, cloud security, and third-party risk controls into AI solutions.
Work with AI engineering, application, data, cloud, privacy, legal, risk, and cyber operations teams to remediate security gaps and support secure production deployment.
Measure control effectiveness, maintain Secure AI risk and compliance evidence, and report implementation status, exceptions, incidents, and residual risks to stakeholders.
Lead Secure AI implementation workstreams, manage delivery quality and risks, and mentor security teams in AI-specific security practices
Professional & Technical Skills:
- 12+ years of Cyber Security experience, including hands-on implementation of security tools, controls, and operational processes.
Demonstrated experience securing AI, GenAI, LLM, or machine learning applications in enterprise environments.
- Strong knowledge of application security, API security, data security, IAM, cloud security, vulnerability management, security monitoring, and incident response as applied to AI solutions
threat modeling, AI red teaming, control validation, and remediation of AI-specific vulnerabilities.
Practical understanding of risks including prompt injection, sensitive information disclosure, insecure output handling, excessive agency, model poisoning, adversarial manipulation, model theft, and third-party AI supply chain exposure.
- Experience implementing or integrating relevant security capabilities such as data loss prevention, AI…