Ai Strategy Leader

15 hours ago

Bengaluru, Karnataka, India beBeeAIstrategy Full time ₹ 20,00,000 - ₹ 30,00,000

Job Title:

Ai Strategy Leader

Job Description:

We seek a visionary leader to drive Ai strategy across cybersecurity, insurance automation, risk quantification, and threat intelligence.

The ideal candidate will architect and scale Ai-driven products that detect, prevent, and respond to cyber threats while enabling smarter risk underwriting and automated response frameworks.

This is a leadership role where innovation meets deep tech.

Key Responsibilities:

  • Ai Roadmap Development: Define and execute the long-term Ai roadmap for our organization.

  • Ai Model Development: Build proprietary Ai models and pipelines for anomaly detection, underwriting automation, fraud prediction, and incident response.

  • Ai Integration: Evaluate and integrate Llms, Rag systems, and real-time data-driven architectures in core offerings.

Technical Leadership:

Own the architecture, design, and deployment of Ai models across cloud and edge environments.

Collaborate closely with security, underwriting, compliance, and product teams to translate domain knowledge into scalable Ml/Ai tools.

Product Development:

Oversee the development of Ai-driven products such as Auto-triage systems for cybersecurity incidents, Ai-enhanced security operation centers (Soc), Intelligent cyber-insurance pricing engines, and Ai advisors for Smb cyber resilience.

Team Building & Partnerships:

Build and mentor a high-performance Ai engineering and data science team.

Collaborate with academia, research bodies, and vendors to stay ahead of the Ai curve.

Guide Oem partnerships for Ai-driven security technologies.

Security Strategy & Thought Leadership:

Align delivery goals with our broader cybersecurity vision and roadmap.

Stay updated on global threat trends, compliance shifts, and emerging technologies.

Required Skills & Qualifications:

  • 12+ years in software engineering or Ai/Ml product development, with at least 4 years in a leadership role.

  • Deep expertise in machine learning, deep learning, and Nlp (Llms, embeddings, anomaly detection).

  • Strong hands-on experience with Python, Tensor Flow/Py Torch, vector databases, Mlops, and cloud platforms (Aws/Gcp/Azure).

  • Experience deploying Ai systems in production at scale, ideally in cybersecurity or fintech domains.

Preferred Qualifications:

  • Prior experience in cybersecurity, threat intelligence, or insur-tech.

  • Understanding of regulatory and compliance implications (Iso 27001, Gdpr, Irdai guidelines).

  • Experience with Generative Ai and Retrieval-Augmented Generation (Rag) systems.

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