Head of AI Engineering & Cyber Solutions

Societe Generale Global Solution Centre; Bengaluru; On-site; INR 5,500,000 - 9,000,000; Full time

Job summary

Societe Generale Global Solution Centre in Bengaluru seeks a seasoned IT development and software engineering leader with proven AI delivery experience and strong cybersecurity understanding. You will shape the AI strategy, build a scalable AI Hub, and deliver secure, production-grade AI-enabled platforms for cybersecurity teams.

You will lead cross-functional teams across AI engineers, software developers, data engineers, and automation specialists, translating complex cyber problems into

Qualifications

• 15+ years of progressive software engineering/technology delivery leadership.
• Proven experience delivering enterprise-grade AI/GenAI solutions.
• Strong understanding of cybersecurity and secure by design practices.
• Experience leading large cross-functional engineering teams.
• Hands-on with modern engineering practices (Agile, CI/CD, DevSecOps).

Responsibilities

• Lead AI Engineering & Solution Delivery across security, risk, and cyber enablement.
• Define and execute AI strategy; build scaling AI Hub in India.
• Own design, development, and delivery of AI-enabled platforms for cybersecurity teams.
• Establish robust software engineering practices including DevSecOps and production support.
• Manage teams of AI engineers, software developers, data engineers, and automation specialists.
• Translate cyber problems into scalable AI-driven solutions.
• Oversee end-to-end delivery from framing to deployment and run.
• Collaborate with global security, data, and tech leadership on AI initiatives.
• Establish governance, risk controls, and secure AI adoption.

Skills

AI delivery

Cybersecurity

Software leadership

Agile delivery

CI/CD

DevSecOps

Production support

Cloud-native

APIs & microservices

AI/GenAI architectures

Data platforms

Governance & risk

Tools

Azure

AWS

Databricks

Snowflake

Langchain/ Langsmith

Job description

Primary Expectations

The 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.

• 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
• Software Engineering & Technology Delivery
• 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.
• 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

Responsibilities

Primary Expectations

The 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 Responsibilities

• 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
• Software Engineering & Technology Delivery
• 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.
• 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

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

• 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 lifecycle
• AI risks and mitigation strategies
• 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
• 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 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.

Required

Profile required

Profile

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.

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