Senior AI Cybersecurity Expert

Head of AI Security & Cyber Innovation

Location: Bangalore | Level: Director / Senior Leadership

About Société Générale

Société Générale is one of Europe's leading financial services groups. With a solid position in Europe and a strong presence worldwide, we provide a wide range of financial services to individual customers, large corporate and institutional investors.

Our Information Security & Risk (ISR) function is at the forefront of protecting the Group's digital assets and ensuring resilient, secure operations globally. As artificial intelligence becomes central to our transformation agenda, we are establishing a dedicated AI Hub within ISR to govern, protect, and enable the Group's AI ambitions at scale.

Role Summary

Société Générale is looking for a senior, hands-on leader to build and lead its AI Hub for Cybersecurity in India.

This role is responsible for driving the Group’s AI agenda across two critical dimensions:

• AI for Cyber → leveraging AI to enhance cybersecurity capabilities and operations
• Cyber for AI → securing AI systems, platforms, models, and data

You will act as a global leader and practitioner, ensuring that AI is both securely implemented and effectively leveraged across cybersecurity domains.

Key Responsibilities

1. Lead AI Strategy for Cybersecurity

• Define and execute the AI strategy across security, risk, and cyber enablement
• Build and scale the AI Hub in India as a global centre of excellence
• Partner with global security, data, and technology leadership on AI initiatives

2. AI for Cyber (AI Enablement & Use Cases)

• Drive development and scaling of AI use cases for cybersecurity, including:
  • Security operations, threat detection, vulnerability management, AppSec, automation, reporting
• Translate cybersecurity problems into AI-driven solutions
• Work closely with AI engineers, data scientists, and cyber teams to deliver practical outcomes
• Ensure use cases are secure, scalable, and production-ready

3. Cyber for AI (AI Security & Risk)

• Establish and drive security practices for:
  • AI/ML pipelines, GenAI / LLM systems, and AI-enabled platforms and applications
  • Azure / AWS AI components and all relevant mitigations (esp guardrails)
  • Microsoft agentic ecosystem (M365 copilot, studio, github)
  • Data/ AI converged platforms (eg Databricks, Snowflake)
• Oversee cybersecurity and risk assessment of AI use cases across the lifecycle
• Define controls, standards, and frameworks for secure AI adoption
• Ensure alignment with enterprise governance, risk, and regulatory expectations
• Define, set and maintain appropriate controls directly embedding in the solution and/or leveraging on AI SPM solutions

4. Hands-on Technical Leadership

• Act as a credible technical authority, not just a governance leader
• Review designs, guide architecture, and challenge implementation approaches
• Bring working knowledge of:
  • AI/ML/GenAI architectures (including Agentic, MCP, AI gateways, RAG, LLM, CSP AI services, AI framework such as langchain / langsmith, giskar,  gandalf, security guardrails)
  • data pipelines and model lifecycle
  • AI risks and mitigation strategies
• Actively engage with engineering and data science teams to move use cases from concept to secured deployment at scale (with agent's governance and management capabilities embedded)

5. Governance & Operating Model

• Embed AI into enterprise risk and governance frameworks
• Define structured processes for:
  • AI use-case assessment
  • prioritization and validation
  • risk visibility and reporting
• Support leadership on regulatory readiness, controls, and audit expectations

6. Build & Lead a High-Impact Team

• Build and scale a high-performing team of AI and cybersecurity experts
• Define capabilities across:
  • AI security, AI engineering, cyber use-case delivery, and risk governance
• Foster collaboration across cybersecurity, data, and AI teams
• Drive AI capability development across the organisation

Profile

You are a seasoned cybersecurity leader who combines deep, multi-disciplinary security expertise with a strong and hands-on grounding in artificial intelligence. You thrive in complex, international environments and are energized by the challenge of defining new frontiers in security.

Core Expertise

AI for Cyber

• Applying AI to cybersecurity use cases and operations
• Working with AI engineers and data scientists

Translating cyber needs into AI solutions and execution plans

Cyber for AI

• Securing AI/ML/GenAI systems, models, data, APIs
• Understanding of AI-related threats (e.g., model attacks, prompt risks)
• AI governance and risk management (including EBIOS RM risks analysis for genAI architectures)
• State of the art framework for genAI (OWASP, NIST, ENISA, DASF, SAIF, MITRE/ATLAS ..)

Experience

• 15+ years of progressive experience in Cybersecurity, with demonstrable leadership across multiple cyber disciplines (e.g., Application Security, Cloud Security, Security Architecture, Threat & Vulnerability Management, GRC, or Security Operations)
• Minimum 3–5 years of dedicated, hands-on experience in AI/ML security, including securing AI pipelines, LLMs, GenAI platforms, and AI-integrated applications
• Proven track record of leading and building high-performing security teams in large-scale, complex organisations
• Prior experience in Financial Services, Banking, or a regulated industry is strongly preferred

Technical Expertise

• Deep understanding of AI/ML architectures, model development lifecycles (MLOps), and the associated threat landscape
• Strong command of AI security domains: adversarial robustness, model governance, data security for AI, GenAI risk (prompt injection, jailbreaking, hallucination risk), and agentic AI security
• Broad and current knowledge of Microsoft AI solutions and ecosystem (Azure OpenAI, Azure AI Foundry, Copilot/ Powerplatform etc.) or AWS AI components (Bedrock, AI services ..).
• Solid grounding in cloud security (Azure, AWS, GCP) as it applies to AI workloads
• Proficiency in modern data platforms (Databricks, Snowflake) and their security considerations
• Working knowledge of Python or similar scripting/programming experience (advantageous: langchain, langraph)

Governance, Risk & Compliance

• Expert-level knowledge of GRC frameworks (ISO 27001, NIST CSF, NIST AI RMF, SOC 2) and their application to AI systems
• Strong familiarity with the EU AI Act, DORA, and the evolving regulatory landscape for AI in financial services
• Demonstrated ability to translate complex technical risk into clear governance artefacts and executive-level communication

Leadership & Soft Skills

• Strong executive presence and ability to influence senior stakeholders
• Able to combine strategy, execution, and technical depth
• Comfortable working in global, matrixed environments

Certifications (Preferred)

• CISSP, CISM, CISA, GIAC (e.g., GML, GCSA), or equivalent
• AI/ML security certifications or equivalent demonstrated expertise

What Makes This Role Unique

• Combines AI Security + AI Innovation for Cybersecurity (rare in market)
• High visibility role with Group-level impact
• Opportunity to build a global capability from India
• Requires a rare profile: senior leader + hands-on AI & cyber practitioner

Equal Opportunity

Société Générale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where all employees can thrive.