IN-Senior Associate_AI Security_Cyber Engineering & Automation_Advisory_Bangalore

PwC; Bengaluru; On-site; INR 6,75,000 - 9,00,000; Full time

Job summary

A global professional services firm in Bengaluru is seeking a Senior Associate in AI and Cloud Security. You will be responsible for implementing security protocols across various cloud environments and AI systems. The ideal candidate possesses strong skills in cybersecurity automation and a good understanding of the AI lifecycle. This role offers opportunities for professional growth and development in a supportive environment.

Qualifications

• Strong understanding of the AI lifecycle and associated security risks.
• Hands-on experience with cybersecurity automation, Python, and scripting.
• Certifications such as CCSP, AWS Security Specialty, or AI security credentials preferred.

Responsibilities

• Implement security controls across AI model training, inference, and deployment.
• Conduct cloud risk assessments across AWS, Azure, and GCP.
• Support secure CI/CD pipeline integration using DevSecOps practices.

Skills

AI Security

Cloud Security

Cybersecurity automation

Python

Analytical Thinking

Education

Any Graduate (Bachelor Degree preferred)

Tools

CNAPP

SIEM/SOAR

AWS

Azure

GCP

Job description

Overview

Line of Service Advisory

Industry/Sector Not Applicable

Specialism Risk

Management Level Senior Associate

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.

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.

Preferred Skills & Qualifications

• 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.

Education & Certifications

• Education: Any Graduate (Bachelor Degree preferred)
• Certifications: Relevant security certifications preferred

Skills

• AI Security
• Cloud Security
• Required Skills: AI Security
• Optional Skills: Accepting Feedback, Active Listening, Analytical Thinking, Cloud Administration, Cloud Engineering, Cloud Infrastructure, Cloud Security, Information Security, etc.

Additional

Travel Requirements – Not specified

Available for Work Visa Sponsorship? – Not specified

Government Clearance Required? – Not specified

Job Posting End Date – Not specified