Senior Manager | Security for AI

We are seeking an AI Security Senior Manager to lead the design, governance, and security of Artificial Intelligence solutions across their full lifecycle. This role sits at the intersection of Cybersecurity, Artificial Intelligence, Risk Management, and Regulation, helping global organizations build secure, trustworthy, and compliant AI systems.

As part of Accenture's global Cybersecurity practice, you will work with multidisciplinary teams of AI engineers, security architects, cloud specialists, legal experts, and business stakeholders to define how organizations securely adopt Generative AI, Agentic AI, Machine Learning, and emerging AI technologies.

• Lead the design and implementation of secure AI architectures covering LLMs, Agentic AI, RAG platforms, Machine Learning pipelines, AI APIs, model security, and AI governance controls.

• Establish and operationalize AI Security and Governance frameworks aligned with business, security, privacy, and regulatory requirements.

• Drive AI Security assessments, threat modeling, validation exercises, AI red teaming initiatives, and security reviews for AI-enabled platforms.

• Support strategic client engagements, executive workshops, proposal development, and AI Security transformation programs.

• Act as the senior technical authority for Security for AI initiatives throughout design, development, validation, deployment, and operational monitoring phases.

• Define AI security strategies addressing prompt injection, model manipulation, data poisoning, model extraction, supply-chain attacks, data leakage, and agentic risks.

• Lead multidisciplinary teams across cybersecurity, cloud, software engineering, MLOps, data science, and AI governance domains.

• Advise executive stakeholders on AI risk, AI governance, secure adoption of Generative AI, and compliance with emerging regulations.

• Drive the implementation of AI security controls within MLOps and MLSecOps environments. • Define and oversee AI risk management processes, impact assessments, model inventories, lifecycle controls, and audit evidence.

• Support business development activities, client presentations, and C-level discussions around AI Security transformation. • Contribute to Accenture's AI Security offerings, methodologies, and thought leadership initiatives.

• Minimum 10 years of professional experience in Cybersecurity, including Security Architecture, Cloud Security, Application Security, Security Engineering, Security Consulting, or Cyber Risk Management.

• Minimum 3 years of experience leading security initiatives involving AI, Machine Learning, Generative AI, Data Science platforms, or AI Governance programs.

• Minimum 5 years of experience leading technical teams, cybersecurity transformation programs, or complex enterprise security initiatives.

• Experience designing security architectures in Azure, AWS, or Google Cloud environments. • Experience performing cyber risk assessments, threat modeling, security reviews, or security governance activities.

• Experience translating security and regulatory requirements into operational controls and technology implementations.

• Bachelor's or Master's degree in Computer Science, Cybersecurity, Telecommunications Engineering, Software Engineering, Mathematics, Data Science, or equivalent.

• English level C1 or higher.

• Spanish professional proficiency.

• Experience with LLM Security, Agentic AI Security, AI Red Teaming, AI Risk Management, or Responsible AI programs.

• Experience working with frameworks such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, ISO 27001, or NIST CSF.

• Experience with MLOps, MLSecOps, Azure AI, Azure OpenAI, AWS Bedrock, Vertex AI, LangChain, LangGraph, or vector databases. • Industry certifications such as CISSP, CCSP, CISM, SABSA, Azure Security Engineer, AWS Security Specialty, or related certifications.

• Previous consulting experience in large-scale digital transformation or cybersecurity programs.

• Public speaking, thought leadership, or participation in AI Security communities.

Knowledge and experience in the use of Generative AI technologies and AI-enabled productivity tools are required, aligned with Accenture's commitment to responsible and effective AI adoption.

• Medical, life, and accident insurance.

• Wellness programs and medical services.

• Flexible compensation and employee stock purchase program.

• Flexible working arrangements.

• Personalized learning and career development plans.

• Sustainability programs and participation in Accenture Foundation initiatives.

• Employee inclusion and diversity networks.

• Additional financial benefits and profit-sharing programs.

Visit us at www.accenture.com 

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