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Unit Head- AI Security & Cyber Innovation

Innovation / Project / Organization

Permanent contract
Bangalore, India
Hybrid

Reference 26000CLB
Start date Immediately
Publication date 2026/08/04

Responsibilities

Unit Head- AI Security & Cyber Innovation

Location: Bangalore | Level: Director / Senior Leadership

About the Role
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 organization

Profile required

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 ..)

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

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.

Why join us

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Business insight

At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

Still hesitating? 
You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.

We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.

Diversity and Inclusion

We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.
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