Cybersecurity AI Platform Advisor (R5)
Eli Lilly and Company18 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Translate cybersecurity business challenges into Agentic AI requirements, use cases, and scalable architectures.
- Define multi-agent solution blueprints, agent roles, tools, memory strategies, orchestration patterns, communication protocols, and security acceptance criteria.
- Architect RAG pipelines, tool layers, runtime enforcement engines, guardrails, sandboxing, permission boundaries, human-in-the-loop checkpoints, and kill switches.
- Establish coding standards, reference architectures, governance standards, and version-controlled registries for agentic AI systems.
- Design and execute testing for reasoning accuracy, tool calls, loop detection, boundary enforcement, failure modes, adversarial conditions, compliance, explainability, latency, and cost.
- Deploy and operate agents across AWS, Azure, and GCP with logging, tracing, monitoring, alerting, rollback triggers, and controlled lifecycle management.
- Integrate agents with SIEM, SOAR, EDR, identity, and ticketing platforms through governed APIs.
- Provide Level 3 support for agentic incidents and conduct structured post-incident reviews.
- Collaborate with privacy, legal, compliance, quality assurance, engineering, vendors, and open-source communities on responsible AI and cybersecurity standards.
- Create architecture documentation, threat models, runbooks, red-team reports, model cards, and mentor junior engineers and security operations personnel.
Requirements
- 10+ years of software or platform engineering experience, including significant architecture, technical leadership, or senior advisory experience.
- At least 2 years of AI/ML or LLM application development experience.
- Demonstrated experience delivering AI use cases end to end, from design through testing and production deployment.
- Working knowledge of cybersecurity domains such as SIEM, EDR, network security, threat intelligence, and identity platforms.
- Proficiency in Python for ML model development, LLM orchestration, and API integration.
- Strong understanding of LLM threats including prompt injection, hallucination, jailbreaks, data poisoning, and model misuse.
- Familiarity with OWASP Top 10 for LLM Applications and MITRE ATLAS.
- Experience operating CI/CD pipelines for ML/LLM systems with automated testing and deployment gates.
- Solid understanding of cloud security across AWS, Azure, and GCP.
- Strong scripting skills in Python, PowerShell, or Bash and proficiency with RESTful APIs and system integration patterns.
- Bachelor’s degree in computer science, cybersecurity, information systems, or a related technical field, or equivalent practical experience.
- Preferred qualifications include AI security reviews, adversarial red teaming, AI governance in regulated industries, agentic AI frameworks, AI regulatory expectations, Docker, Kubernetes, and cloud-native ML architectures.
- Project management exposure or Agile/Scrum experience is preferred.
Tech Stack
Categories
About Eli Lilly and Company
Eli Lilly and Company researches, develops, manufactures, and markets prescription medicines and biologics for patients, sold through healthcare providers, pharmacies, and payers. Core therapeutic areas include diabetes, oncology, immunology, neuroscience, and obesity. Founded in 1876 and headquartered in Indianapolis, it is a public company (NYSE: LLY) with global operations and is building a new advanced manufacturing site for gene therapy and other modalities in Lebanon, Indiana.