Senior AI Engineer - Cybersecurity
United Airlines13 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, build, and deploy AI agents for cybersecurity workflows across IAM, application security, GRC, cloud security, and security operations.
- Create modular AI instructions, skills, prompts, and workflows for LLMs and agentic frameworks.
- Develop AI-assisted workflows for secure code reviews, infrastructure-as-code analysis, threat modeling, control validation, and compliance reporting.
- Write integration code connecting AI agents with identity providers, CI/CD pipelines, SIEM platforms, vulnerability management tools, ticketing systems, cloud platforms, and APIs.
- Implement safety guardrails, logic checkpoints, access controls, logging, and human-in-the-loop approval features.
- Monitor, debug, tune, and document deployed AI agents for performance, accuracy, security, and reliability.
- Collaborate with cybersecurity, product, platform, engineering, and IT operations teams to integrate agentic AI and AI security controls.
Requirements
- Bachelor’s degree in computer science, cybersecurity, engineering, information technology, artificial intelligence, machine learning, data science, or a related technical field.
- At least 4 years of technical experience directly related to cybersecurity domains.
- At least 3 years of experience writing production-level Python code.
- At least 1–2 years of experience building tools with large language models, AI/ML systems, automation, or agentic AI frameworks.
- Knowledge of LLM operations, prompt engineering, context management, retrieval patterns, and AI agents.
- Experience with agentic frameworks such as LangChain, AutoGen, Semantic Kernel, or CrewAI.
- Experience designing, deploying, and securing AI agents using Amazon Bedrock AgentCore capabilities.
- Understanding of IAM, application security, cloud security, GRC, and security operations.
- Knowledge of AI-specific risks including prompt injection, data leakage, data poisoning, model misuse, tool misuse, shadow AI, and unsafe automated actions.
- Ability to build programmatic safety mechanisms, least-privilege controls, human-in-the-loop workflows, integrations, reusable components, documentation, and engineering playbooks.
- Preferred qualifications include a master’s degree, 5+ years of cybersecurity experience, 4+ years of production coding experience, Go, JavaScript, TypeScript, API-driven development, relevant cybersecurity certifications, and knowledge of OWASP Top 10 for LLM Applications or NIST AI RMF.
Benefits
- Health and wellness benefits, opportunities to build connections with teams and customers, and access to United Airlines’ extensive route network for travel.
- The position is offered on local terms and conditions through United Airlines Business Services Pvt. Ltd.; expatriate assignments are not available.
Tech Stack
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