Architect and develop AI-powered security solutions for enterprise customers.
Design and deploy production AI applications using LLMs, agentic AI frameworks, and RAG architectures.
Build intelligent AI agents that automate security operations, compliance, and customer workflows.
Develop secure, scalable AI architectures that meet enterprise security and governance requirements.
Evaluate emerging AI technologies and define architectural standards and best practices.
Collaborate with engineering, product, and security teams to deliver production-ready AI capabilities.
Design AI orchestration pipelines integrating enterprise data, security telemetry, and knowledge systems.
Establish AI governance, model evaluation, and responsible AI practices.
Mentor engineering teams and provide technical leadership on AI architecture and implementation.
Requirements
12+ years of software engineering, platform engineering, or systems architecture experience.
3+ years building production AI, generative AI, or intelligent automation solutions.
Hands-on experience with OpenAI APIs and/or open-source LLMs.
Experience developing AI agents, multi-agent systems, or agentic workflows using modern orchestration frameworks.
Strong Python development experience with modern API frameworks.
Experience with cloud-native architectures, Kubernetes, distributed systems, and CI/CD automation.
Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field, or equivalent practical experience.