Director, Data Science & Generative AI

Job description

Securonix is leading the transformation of cybersecurity by helping organizations stay ahead of modern threats. Security teams are no longer constrained by data or tools. They are constrained by speed, clarity, and confidence. Securonix was built to close that gap. Our mission is to enable security teams to decide and act faster across the entire threat lifecycle. The Securonix Unified Defense SIEM is the industry’s first platform powered by agentic AI and designed with a human-in-the-loop philosophy. It unifies detection, investigation, and response in a single system. Advanced UEBA delivers deep behavioral insight across users, entities, and data. Native threat intelligence continuously enriches detections and investigations with real-world context. AI reinforces every layer of the platform while keeping accountability with the security team. Built cloud-native for scale and performance, the platform enables real-time analytics, deep investigation, and automated response without compromise. Analysts gain faster access to relevant signals. Investigations move from days to minutes. Response becomes consistent and measurable. The result is a CyberOps experience that scales as threats evolve. Securonix is recognized as a six-time Leader in the Gartner Magic Quadrant for SIEM and a Customers’ Choice on Gartner Peer Insights. The company has been featured by leading publications including WIRED, Dark Reading, and Fortune for its innovation and leadership in security operations. Organizations rely on the platform for always-available data, rapid search and investigation, continuously updated threat content, and a fully integrated Threat Detection, Investigation, and Response experience. Backed by Vista Equity Partners, one of the world’s leading enterprise software investors, Securonix benefits from deep operational expertise and a long-term commitment to innovation and growth. This partnership strengthens our ability to scale the platform, accelerate product execution, and support customers as their security needs evolve. With more than 1,000 customers worldwide, including a meaningful portion of the Fortune 100, Securonix operates at global scale. Our ecosystem of partners and managed security service providers extends that reach, helping organizations deploy and operate with confidence wherever they do business. What drives us is how we work. We win as one team. We operate with trust, respect, and shared accountability. We are customer-driven. Innovation is guided by real security challenges and measurable outcomes. We act with agility. Change is constant, and we stay aligned on purpose while adapting fast. That focus is how Securonix helps organizations move from reactive security to proactive, autonomous operations. Role Overview: Securonix is looking for a seasoned technology leader with 15 + years of experience to lead our Data Science and Generative AI organization. This role will be responsible for defining and executing the AI/ML and GenAI strategy, building scalable AI-powered product capabilities, and leading a high-performing team of Data Scientists, ML Engineers, and AI Engineers. Key Responsibilities: Define and drive the AI/ML and Generative AI roadmap aligned with business and product objectives . Lead the design, development, and deployment of production-grade AI solutions, including LLMs, RAG systems, AI Agents, and GenAI and Agentic AI applications. Build and mentor high-performing Data Science and AI teams while fostering a culture of innovation and engineering excellence. Partner with Product, Engineering, and Customer facing teams to deliver scalable AI capabilities and measurable business outcomes. Establish best practices and governance frameworks for AI adoption, security, compliance, privacy, and ethical AI practices. Define standards for model evaluation, model lifecycle management, prompt engineering, guardrails, hallucination mitigation, performance monitoring and observability. Required Qualifications: 15 + years of experience in Software Engineering, AI/ML, and Data Science, with 5+ years leading large technical teams. Strong architecture understanding and hands-on experience with Generative AI technologies, including LLMs, RAG, Agentic AI, Prompt Engineering, LangChain , LangGraph , and Vector Databases. Deep expertise in Machine Learning, NLP, Statistical Modeling , and production AI systems. Strong background in Distributed Systems, Microservices Architecture, and Cloud-native application development. Extensive experience with AWS (mandatory), Python, Kubernetes, Data Pipelines, and MLOps . Ability to influence executive stakeholders and cross-functional teams. Proven experience managing managers, senior engineers, and data scientists. Strong communication and presentation skills. Experience driving organizational transformation through AI adoption. Preferred Qualifications: Experience building AI-powered SaaS products at enterprise scale. Background in Cybersecurity, Security Analytics, or related domains is a plus. Master's or PhD in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong stakeholder management, strategic thinking, and organizational leadership skills. Benefits: As a full-time employee with Securonix, you will be eligible for the following employee benefits: Health Insurance with a total sum insured is INR 7,50,000 Coverage: Self, Spouse, 2 kids, Dependent parents, or parents-in-law Personal Accident with total sum insured is INR 10,00,000 Term Life Insurance with a sum assured for employees is 5 times fixed base pay is covered. Securonix provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Securonix complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training.