Responsibilities

- Conduct comprehensive cloud security assessments, evaluating designs, configurations, and implementations across major cloud service providers (CSPs) including AWS, Azure, and GCP.
- Architect and drive enterprise-wide cloud security strategies, including baselines, guardrails, and secure design patterns for cloud-native and hybrid environments.
- Identify and analyze potential security risks, vulnerabilities, and misconfigurations within cloud environments, AI/ML platforms, and applications.
- Perform software architecture design reviews for cloud deployments, including AI/ML pipelines, LLM integrations, agentic frameworks, and data platforms.
- Develop and enforce security controls for AI/ML systems, covering model security, data governance, prompt injection defenses, supply chain integrity, and inference infrastructure hardening.
- Collaborate with AI engineering, platform, and development teams to embed security throughout the SDLC and CI/CD pipelines, including AI-specific development workflows.
- Develop, evaluate, and document security measures, controls, and guardrails to protect data, applications, APIs, and infrastructure across cloud and AI environments.
- Provide senior technical advisory services on cloud security, AI security, and security engineering to internal stakeholders, ensuring alignment with firm-wide security policies and industry best practices.
- Develop and maintain scripts, automated solutions, and security tooling to streamline security processes, vulnerability identification, and compliance checks across cloud and AI environments.
- Stay current on emerging threats across cloud, AI/ML, and security engineering domains, including adversarial ML techniques, cloud-native attack vectors, and evolving regulatory requirements.
- Lead and mentor technical security teams; influence senior stakeholders and align security posture with business objectives.
- Contribute to incident response and remediation efforts related to cloud security and AI security events as required.

Qualifications Mandatory Requirements:

- 12+ years of hands-on experience in cybersecurity, with depth spanning in the following domains:
- Cloud Security: Architecting and assessing security for cloud-native and hybrid environments across major CSPs (AWS, Azure, GCP, OCI).
- Security Engineering: Building security tooling, automation, detection capabilities, or secure-by-design systems at scale.
- AI Engineering Security:



Securing AI/ML systems, LLM-based applications, agentic pipelines, or ML infrastructure.
- Cybersecurity Generalist: Broad cross-domain expertise including network security, identity and access management, threat modeling, vulnerability management, incident response, and compliance.

- Strong development and scripting proficiency (Python, PowerShell, Bash, or similar) for automation, security tooling, and data analysis.
- Deep, demonstrated knowledge of cloud security architecture across at least one major CSP (AWS strongly preferred), including IAM, network security, encryption/key management, workload/container security, and monitoring/logging.
- Technical expertise in application security architecture, including secure-by-design patterns, threat modeling, and enterprise AppSec standards for web, API, and microservices environments.
- Proven experience securing AI/ML systems or platforms, including familiarity with threats specific to LLMs, model pipelines, and AI supply chains.
- Proven track record driving security initiatives across large, complex enterprise environments with cross-functional impact.

Preferred Qualifications:

- Experience in financial services or other highly regulated industries, with familiarity with relevant compliance frameworks.
- Advanced knowledge of industry security frameworks and standards (e.g., NIST AI RMF, NIST CSF, ISO 27001, CIS Benchmarks, MITRE ATLAS, OWASP LLM Top 10).
- Familiarity with AI/ML security frameworks including OWASP LLM Top 10, MITRE ATLAS, and NIST AI Risk Management Framework.
- Strong leadership and communication skills to influence at the executive level, mentor technical teams, and represent security in cross-functional forums.
- Relevant certifications across security and cloud domains (e.g., CISSP, CCSP, AWS Certified Security – Specialty, Azure Security Engineer Associate, Google Cloud Professional Cloud Security Engineer, GIAC certifications).
- Experience with MLOps, model deployment pipelines, and AI platform security (e.g., SageMaker, Vertex AI, Azure ML,



Databricks).
- Hands-on experience with red teaming, or adversarial testing of AI/ML systems.

We Offer Best-In-Class Benefits

Healthcare & Medical Insurance

We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.

Holiday & Vacation Policies

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of perks to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health Services

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).

Child Care & Family Care

We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

Benefits at Goldman Sachs

Read more about the full suite of class-leading benefits our firm has to offer.

Opportunity Overview

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CORPORATE TITLEVice President

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OFFICE LOCATION(S)Bengaluru

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JOB FUNCTIONSecurity Engineering

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DIVISIONEngineering Division

📌 Engineering Division - Tech Risk Advisory -Vice President- Hyderabad/Bangalore (Karnataka)
🏢 Goldman Sachs
📍 Karnataka