IN_Manager_AI Security_Cyber Engineering & Automation_Advisory_Mumbai

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Manager Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. In cloud security at PwC, you will be responsible for designing, implementing and elevating the security posture across our clients’ cloud environments, covering IaaS, PaaS and SaaS. Your work will involve having a deep technical knowledge of cloud security and you will work with one or more Cloud Service Providers (CSP) to implement security protocols, monitor for potential security breaches, conduct risk assessments and vulnerability testing of cloud-based systems, and stay up to date with the latest security threats and trends in cloud technology. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities AI Security (Primary) · Implement security controls across AI model training, inference, and deployment. · Identify and mitigate risks such as adversarial attacks, model poisoning, data leakage, and prompt injection. · Work with AI engineering teams to embed secure practices into pipelines and track deliverables. · Support evaluation of third-party AI services for compliance with security and privacy standards. · Contribute to threat modeling and mitigation strategies for generative AI and LLM-based applications. · Assist in AI governance and risk management initiatives, ensuring timely execution of assigned tasks. Cloud Security (Secondary) · Deploy and operate CNAPP solutions (e.g., Wiz, Prisma Cloud) for workload protection. · Conduct cloud risk assessments across AWS, Azure, and GCP, and follow up on remediation. · Monitor and resolve misconfigurations, vulnerabilities, and compliance gaps. · Support secure CI/CD pipeline integration using DevSecOps practices. · Assist in runtime protection for serverless, container, and microservices workloads. · Contribute to audits, compliance checks, and documentation for AI and cloud security programs. Mandatory Skill Sets AI Security Preferred Skill sets · Strong understanding of the AI lifecycle and associated security risks. · Hands-on experience with cybersecurity automation, Python, and scripting. · Familiarity with CNAPP, SIEM/SOAR, and cloud-native security tools. · Exposure to AWS, Azure, and GCP environments. · Certifications such as CCSP, AWS Security Specialty, or AI security credentials (preferred). · Ability to coordinate security projects, manage deliverables, and work effectively with cross-functional teams. Years of Experience required 4 Education Qualification Any Graduate Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AI Ops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Cloud Administration, Cloud Engineering, Cloud Infrastructure, Cloud Infrastructure Architecture Design, Cloud Resource Management, Cloud Security, Cloud Security Auditing, Cloud Service Delivery, Cloud Service Level Risk Management, Coaching and Feedback, Communication, Creativity, Cyber Engineering, Embracing Change, Emotional Regulation, Empathy, Forensic Investigation, Incident Investigation, Inclusion, Information Security, Infrastructure as a Service (IaaS) {+ 24 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date