AI/Agentic AI Engineer for Cyber Security, Off

Looking For We are seeking a highly motivated and innovative AI / Agentic AI Engineer to design, develop, and operationalize next-generation AI-driven security solutions. The ideal candidate combines strong software engineering skills, practical experience with Generative AI and Agentic AI frameworks, and deep understanding of cybersecurity principles. You are passionate about applying Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), autonomous workflows, and advanced analytics to solve complex security problems. You thrive in a fast-paced environment where security, automation, and AI innovation intersect. The successful candidate will work closely with security architects, threat detection teams, cloud security engineers, data scientists, and platform teams to build intelligent security capabilities that improve threat detection, incident response, risk assessment, vulnerability management, and security operations efficiency. What You Will Be Responsible For Design, develop, and deploy AI-powered cybersecurity solutions leveraging LLMs, Agentic AI frameworks, and machine learning. Build multi-agent systems capable of autonomous reasoning, task orchestration, and security workflow automation. Develop intelligent assistants for security architects and cloud security engineers. Implement Retrieval-Augmented Generation (RAG) architectures using enterprise security data and knowledge repositories. Integrate AI agents with enterprise security tooling Implement prompt engineering, agent planning strategies, memory management, and context optimization techniques. Implement secure-by-design principles for AI applications and agents What We Value Strong problem-solving and analytical mindset. Passion for innovation and continuous learning. Ability to translate complex security challenges into scalable AI solutions. Ownership mentality with strong execution focus. Excellent communication and stakeholder management skills. Commitment to secure, ethical, and responsible use of AI technologies. Collaborative approach to working across engineering, security, compliance, and business teams. Curiosity to explore emerging AI technologies and evaluate their practical impact on cybersecurity operations. Education & Preferred Qualifications Bachelor's degree in Computer Science, Information Security, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline. Strong understanding of cybersecurity concepts including identity security, cloud security, threat detection, vulnerability management, security operations, and risk management. Python, Java, Go, or similar programming languages.AI frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, CrewAI, LlamaIndex, or equivalent.Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLM ecosystems.Vector databases and embeddings technologies.Cloud platforms including Azure, AWS, and GCP.Kubernetes, Docker, CI/CD, and DevSecOps practices.Data engineering, knowledge graph, and RAG implementation experience. 6-10 years of overall experience in software engineering, cybersecurity engineering, cloud security and at least 1 year in building Agentic AI solutions Work Requirement  Hybrid:  Expected to work from base office location 4 days in a week Shift:  Standard business hours with flexibility to support global stakeholders across multiple time zones About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer