Head of AI Engineering & Cyber Solutions

1.      Lead AI Engineering & Solution Delivery

• →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
• →Own the design, development, and delivery of AI-enabled platforms, tools, and applications for cybersecurity teams.
• →Build robust software engineering practices across architecture, development, testing, release management, DevSecOps, and production support.
• →Lead engineering teams across AI engineers, software developers, data engineers, and automation specialists.
• →Translate business and cyber requirements into scalable, maintainable, production-grade technology solutions.
• →Progressively take ownership of broader IT development delivery for the team, beyond AI-only use cases.

• →Partner with global security, data, and technology leadership on AI initiatives

• Strong foundation in software architecture, application development, APIs, microservices, cloud-native engineering, and enterprise integration.
• Experience with modern engineering practices including Agile delivery, CI/CD, DevSecOps, automated testing, observability, secure coding, and production support.
• Ability to lead end-to-end solution delivery from problem framing and design to build, deployment, adoption, and run.
• Comfortable managing developers, AI engineers, data engineers, architects, and technical leads.

• 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

4. 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

·       Act as a credible engineering leader, able to guide architecture, software design, platform choices, delivery quality, and production readiness.

·       Bring strong experience in modern application development, APIs, cloud-native engineering, data platforms, DevSecOps, automation, and AI/ML engineering.

·       Ensure AI solutions are not only innovative but also secure, scalable, maintainable, observable, and integrated into enterprise technology standards.

·       Challenge technology decisions and improve engineering maturity across the team.

• 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

• 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

• 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

You are a seasoned technology and software engineering leader with strong hands-on experience in AI/GenAI delivery and a solid understanding of cybersecurity. You have led engineering teams, built production-grade platforms or applications, and can translate complex cyber problems into scalable technology solutions.

You do not need to be a career cybersecurity specialist, but you must be able to understand cyber use cases, engage credibly with security stakeholders, and ensure that solutions are secure by design.

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

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

·       Opportunity to build a new AI engineering capability for cybersecurity from India.

·       Combines software engineering leadership, AI innovation, and cybersecurity domain impact.

·       High-visibility role with potential to progressively own broader IT development for the function.

·       Requires a rare profile: technology delivery leader + hands-on AI practitioner + cyber-aware solution builder.

·       Opportunity to build a new AI engineering capability for cybersecurity from India.

·       Combines software engineering leadership, AI innovation, and cybersecurity domain impact.

·       High-visibility role with potential to progressively own broader IT development for the function.

·       Requires a rare profile: technology delivery leader + hands-on AI practitioner + cyber-aware solution builder.

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.

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.

·       15+ years of progressive experience in software engineering, IT development, platform engineering, or technology delivery, with significant leadership responsibility.

·       Proven experience leading engineering teams delivering enterprise-grade applications, platforms, automation, data, or AI-based solutions.

·       Strong hands-on experience in AI/ML/GenAI solution delivery, including LLM-based applications, RAG, agentic workflows, AI platforms, or applied AI use cases.

·       Solid understanding of cybersecurity domains such as security operations, vulnerability management, application security, cloud security, threat detection, or cyber risk.

·       Experience delivering solutions in financial services, cybersecurity, risk, or other regulated environments is strongly preferred.

·       Prior experience in Financial Services, Banking, or a regulated industry is strongly preferred

·       Strong knowledge of modern programming and engineering ecosystems, preferably Python and/or Java, APIs, cloud services, container platforms, data engineering, and automation.

·       Experience designing scalable, reliable, secure, and maintainable enterprise applications.

·       Hands-on understanding of AI engineering patterns such as RAG, vector databases, prompt engineering, orchestration frameworks, agentic AI, model evaluation, and AI guardrails.

• 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)