Senior AI Security Engineer, Cyber Architecture, OT and Engineering

This is a fully remote position, open to applicants in India.

📋 Description

• Architect, design, and implement agentic AI workflows utilizing frameworks such as LangChain, LangGraph, AutoGen, and other relevant orchestration libraries.

• Develop multi-agent systems that exhibit autonomous reasoning, planning, task delegation, and collaboration across various cybersecurity functions.

• Execute agent-to-agent coordination strategies, incorporating shared memory, messaging, goal decomposition, and tool-use patterns.

• Design and enhance Agent Development Kit (ADK)–based pipelines to ensure secure and scalable deployment of agents.

• Create Retrieval-Augmented Generation (RAG) pipelines that allow agents to engage with real-time knowledge sources, logs, cybersecurity datasets, and enterprise APIs.

• Refine vector embeddings, indexing strategies, and memory structures to support high-accuracy decision-making.

• Guarantee that outputs from LLM-based agents are grounded, auditable, and explainable.

• Fine-tune, prompt-engineer, and configure LLMs/SLMs for specialized tasks in cybersecurity and automation.

• Develop reasoning, planning, and self-critique modules to enable agents to function autonomously and safely.

• Integrate external LLM APIs, embeddings, synthetic data, and custom model endpoints.

• Lead the creation of an enterprise-grade platform that facilitates the orchestration of LLMs, RAG components, vector databases, and multi-agent protocols.

• Standardize the implementation of Model Context Protocol (MCP) for consistent context-sharing, memory management, and interoperability among agents.

• Create reusable agent templates, toolkits, and internal libraries to expedite development across Cyber teams.

• Implement CI/CD practices, pipeline orchestration, versioning, and management of the agent lifecycle.

• Establish monitoring, tracing, and observability protocols for the behavior of autonomous systems.

• Automate manual cybersecurity processes through AI-driven workflow orchestration and dynamic agents.

• Extract, transform, and consolidate data from various cybersecurity sources, including SIEM, IAM, SOAR, endpoint telemetry, and API-driven security tools.

• Utilize ML and statistical modeling techniques for anomaly detection, classification, optimization, and pattern recognition.

• Convert complex findings into intuitive visual representations and actionable insights for leadership.

• Collaborate with cybersecurity subject matter experts (SMEs), analysts, and engineers to pinpoint opportunities for autonomous decision systems.

• Clearly convey intricate AI concepts to both technical and non-technical audiences.

• Promote innovation and advocate for the adoption of emerging AI technologies throughout the organization.

⛳️ Requirements

• A minimum of 5 years of experience in software development, AI/ML engineering, or data science.

• At least 1 year of experience in the Cybersecurity domain, particularly with IAM (SailPoint, CyberArk) and SIEM/SOAR (Splunk, QRadar, etc.).

• Over 1 year of hands-on experience in building agentic AI or multi-agent applications, including LLM-driven workflows or reasoning systems.

• Strong proficiency in Python and a working knowledge of SQL.

• Direct experience with LLM/SLM APIs, embeddings, vector databases, RAG architecture, and memory systems.

• Experience deploying AI workloads on GCP (Vertex AI) and IBM WatsonX.

• Familiarity with agentic AI protocols, ADKs, LangGraph, AutoGen, or similar orchestration tools.

• Practical experience in implementing Model Context Protocol (MCP) for managing agent-level context.

• Over 1 year of experience with LangChain, LlamaIndex, OpenAI, Cohere, Anthropic, or comparable frameworks.

• Preferred 2+ years of experience in developing automation or RPA solutions.

• At least 2 years of experience building on AWS, including serverless architectures.

• Demonstrated experience with data visualization platforms such as Tableau, Power BI, or Looker.

• A minimum of 2 years of experience working with APIs, microservices, and modern data engineering tools.

• Applied experience with agile software development methodologies.

• Prior experience in deploying enterprise-scale agentic AI or autonomous reasoning systems.

• Contributions to open-source AI/ML or agentic frameworks are a plus.

🏝️ Benefits

• Competitive salary

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Remote work options