ResponsibilitiesPrimary ExpectationsThe primary expectation is to hire a strong IT development and software engineering leader with proven AI delivery experience, who also understands cybersecurity sufficiently to build relevant, secure, and effective solutions for cyber teams.Key Responsibilities1. Lead AI Engineering & Solution DeliveryDefine and execute the AI strategy across security, risk, and cyber enablementBuild and scale the AI Hub in India as a global centre of excellenceOwn 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 initiatives2. Software Engineering & Technology DeliveryStrong 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.3. 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, reportingTranslate cybersecurity problems into AI-driven solutionsWork closely with AI engineers, data scientists, and cyber teams to deliver practical outcomesEnsure use cases are secure, scalable, and production-ready4. Cyber for AI (AI Security & Risk)Establish and drive security practices for:AI/ML pipelines, GenAI / LLM systems, and AI-enabled platforms and applicationsAzure / 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 lifecycleDefine controls, standards, and frameworks for secure AI adoptionEnsure alignment with enterprise governance, risk, and regulatory expectationsDefine, set and maintain appropriate controls directly embedding in the solution and/or leveraging on AI SPM solutions5. Hands-on Technical Leadership· 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 lifecycleAI risks and mitigation strategies6. Governance & Operating ModelEmbed AI into enterprise risk and governance frameworksDefine structured processes for:AI use-case assessmentprioritization and validationrisk visibility and reportingSupport leadership on regulatory readiness, controls, and audit expectations7. Build & Lead a High-Impact TeamBuild and scale a high-performing team of AI and cybersecurity expertsDefine capabilities across:AI security, AI engineering, cyber use-case delivery, and risk governanceFoster collaboration across cybersecurity, data, and AI teamsDrive AI capability development across the organisationProfileYou 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.ractitioner + cyber-aware solution builder.Profile requiredProfileYou 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.Experience· 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 preferredTechnical Expertise· 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 landscapeStrong command of AI security domains: adversarial robustness, model governance, data security for AI, GenAI risk (prompt injection, jailbreaking, hallucination risk), and agentic AI securityBroad 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 workloadsProficiency in modern data platforms (Databricks, Snowflake) and their security considerationsWorking knowledge of Python or similar scripting/programming experience (advantageous: langchain, langraph)Leadership & Soft SkillsStrong executive presence and ability to influence senior stakeholdersAble to combine strategy, execution, and technical depthComfortable working in global, matrixed environmentsCertifications (Preferred)CISSP, CISM, CISA, GIAC (e.g., GML, GCSA), or equivalentAI/ML security certifications or equivalent demonstrated expertiseWhat Makes This Role Unique· 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.Why join usWe 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 insightAt 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.

Head of AI Engineering & Cyber Solutions - Innovation / Project / Organization - Bangalore, India

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