Lead Secure AI implementation for enterprise AI and GenAI environments. Define security controls, standards, monitoring, assessments, threat modeling, red teaming, remediation, and incident response across the AI lifecycle. Integrate cybersecurity tools protecting models, data, APIs, agents, and third-party services. Advise clients, lead workshops and delivery workstreams, manage risks and stakeholders, and mentor security teams. This is a senior, client-facing role requiring on-site work in Mumbai five days per week.
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 security posture management, model and application monitoring, API protection, secrets management, content safety, guardrails, and security analytics
Knowledge of NIST AI RMF, OWASP Top 10 for LLM Applications, MITRE ATLAS, ISO/IEC 42001, Responsible AI principles, and applicable security and privacy requirements with enterprise AI services such as Azure AI and Azure, OpenAI, AWS Bedrock, Google Vertex AI, or equivalentsimilar AI platforms from a security implementation perspective.
- Client-facing, consulting, delivery management, and stakeholder coordination skills.
Additional Requirements
Strong focus on practical Secure AI implementation, control adoption, measurable risk reduction, and operational readinessclient advisory, relationship building, and executive engagement.
Experience leading multidisciplinarylarge teams and delivering complex cyber security implementationAI Security programs.
Ability to work from client locations (5 days/week) as required.
Relevant certifications preferred: CISSP, CCSP, cloud security, application security, AI securityAzure AI Engineer, AI Security, or Responsible AI certifications.
Client Leadership & Delivery Expectations:
Operate as a senior, client-facing Secure AI lead/sme who can build credibility with business, technology, risk, and cyber security stakeholders.
Engage clients directly to understand their priorities, articulate Secure AI risks and solutions in business terms, and influence decision-makers to adopt the recommended security controls, tools, and operating processes.
Lead workshops, solution discussions, delivery governance forums, status reviews, risk escalations, and executive steering conversations with confidence.
Manage multiple concurrent Secure AI client engagements, ensuring delivery quality, milestones, financial discipline, resource coordination, stakeholder alignment, and timely resolution of delivery risks and issues.
Build trusted client relationships, manage expectations, handle challenging conversations, and create alignment across client and internal teams.
Identify opportunities to expand Secure AI services by connecting client needs with practical cyber security implementation roadmaps and measurable outcomes.
This is a client-facing, on-site role and is not a work-from-home position. The individual must be willing and able to work from client locations five days a week, based on engagement requirements.
Additional Information:
- 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.
15 years full time education
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 security posture management, model and application monitoring, API protection, secrets management, content safety, guardrails, and security analytics
Knowledge of NIST AI RMF, OWASP Top 10 for LLM Applications, MITRE ATLAS, ISO/IEC 42001, Responsible AI principles, and applicable security and privacy requirements with enterprise AI services such as Azure AI and Azure, OpenAI, AWS Bedrock, Google Vertex AI, or equivalentsimilar AI platforms from a security implementation perspective.
- Client-facing, consulting, delivery management, and stakeholder coordination skills.
Additional Requirements
Strong focus on practical Secure AI implementation, control adoption, measurable risk reduction, and operational readinessclient advisory, relationship building, and executive engagement.
Experience leading multidisciplinarylarge teams and delivering complex cyber security implementationAI Security programs.
Ability to work from client locations (5 days/week) as required.
Relevant certifications preferred: CISSP, CCSP, cloud security, application security, AI securityAzure AI Engineer, AI Security, or Responsible AI certifications.
Client Leadership & Delivery Expectations:
Operate as a senior, client-facing Secure AI lead/sme who can build credibility with business, technology, risk, and cyber security stakeholders.
Engage clients directly to understand their priorities, articulate Secure AI risks and solutions in business terms, and influence decision-makers to adopt the recommended security controls, tools, and operating processes.
Lead workshops, solution discussions, delivery governance forums, status reviews, risk escalations, and executive steering conversations with confidence.
Manage multiple concurrent Secure AI client engagements, ensuring delivery quality, milestones, financial discipline, resource coordination, stakeholder alignment, and timely resolution of delivery risks and issues.
Build trusted client relationships, manage expectations, handle challenging conversations, and create alignment across client and internal teams.
Identify opportunities to expand Secure AI services by connecting client needs with practical cyber security implementation roadmaps and measurable outcomes.
This is a client-facing, on-site role and is not a work-from-home position. The individual must be willing and able to work from client locations five days a week, based on engagement requirements.
Additional Information:
- 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.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Airoli, Mahārāshtra, IND Office
Airoli, India
Accenture Mumbai, Maharashtra, IND Office
Ganpatrao Kadam Marg, off Senapati Bapat Marg, Lower Parel West, Lower Parel, Mumbai, Maharashtra, India, 400013
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