Principal - AI ML and Cloud Security
GSK (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 45–80 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Own and build the most complex AI solutions in production related to Cyber Architecture and Solutions using Python, LangChain, LlamaIndex, and vector databases.
- Develop reusable SDKs, evaluation tools, libraries, and components foundational to agent and platform workstreams while ensuring delivery to architecture specifications with proper documentation and tests.
- Integrate AI agents with security tools (Splunk, Microsoft Sentinel, CrowdStrike, ServiceNow) by writing and maintaining production connectors, mentoring engineers, and contributing to CI/CD pipelines for AI workloads.
Minimum Requirements
- 10+ years experience in AI or software engineering with a relevant technical degree, focusing on AI Engineering and agentic framework build in production environments.
- Proficiency in production Python and Kubernetes including LLM integration, prompt engineering, LangChain or LlamaIndex orchestration.
- Experience in RAG pipeline engineering with expertise in chunking, embedding strategy, vector database design, retrieval tuning, and output evaluation.
- Knowledge of LLM application security including prompt injection defenses, output validation, secrets handling, and tool-call allow-listing.
Ideal Candidate Profile
- Highly experienced hands-on engineer focused on building and maintaining complex, scalable AI agent solutions in production with strong architectural discipline.
- Skillful in integrating AI with cybersecurity tools and ensuring AI security standards are met throughout the solution lifecycle.
- Able to lead engineering innovation with quarterly tooling improvements and mentor junior engineers through detailed code review and knowledge sharing.