Vice President of AI Engineering leading global engineering teams at Protegrity. Driving secure, ethical, and innovative AI solutions while fostering a culture of inclusion.
Responsibilities
Inspire and Lead: Guide high-performing, cross-functional teams in building advanced AI systems, language models, agentic UX, synthetic data, and more.
Drive Innovation: Champion the adoption of cutting-edge technologies and methodologies, ensuring our AI products are robust, secure and ahead of the curve.
Shape Strategy: Define and execute the AI technology roadmap, collaborating with leaders across Product, GenAI and Program Management to align technical vision with business goals.
Champion Security & Ethics: Establish and enforce best practices for AI security, privacy and compliance (GDPR, HIPAA, PCI-DSS), including semantic guardrails and privacy-preserving techniques.
Accelerate Delivery: Oversee the delivery of high-quality AI products on time and within budget, leveraging modern DevSecOps and CI/CD processes.
Empower Teams: Foster a culture of continuous learning, inclusion and technical excellence. Mentor and develop future leaders in AI engineering.
Promote Collaboration: Integrate customer feedback, industry trends and emerging technologies into our AI product roadmap.
Advance Data Discovery: Lead the development of scalable frameworks for data discovery, metadata-driven exploration and automated cataloging.
Innovate in Synthetic Data: Drive the creation and validation of synthetic data to enhance model robustness, reduce bias and simulate real-world scenarios.
Design Next-Gen UX: Oversee the creation of agentic, multimodal user interfaces that deliver intuitive, goal-driven AI experiences.
Requirements
15+ years of global technology leadership, with a focus on AI, machine learning and agile software development.
Proven expertise in AI engineering, language models, data science
Strong background in cybersecurity and data privacy within AI systems.
Experience managing international teams across India, EMEA and the USA.
Deep knowledge of data management, cloud platforms and model control protocols.
Track record of fostering innovation, inclusion and continuous improvement.
Strong influencing, negotiation, and collaboration skills.
Hands-on experience with enterprise-scale data discovery, metadata management, and self-service data access.
Demonstrated ability to architect and enforce semantic guardrails and privacy-preserving AI systems.
Experience designing agentic UI/UX for intuitive, multimodal AI interactions.
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