Description
Key Skills: Python, Machine Learning, PyTorch, TensorFlow, LLM Systems, Data Engineering, Information Security, System Integration, Software Development, SDLC
Good to Have Skills: Multi-agent orchestration systems, Microsoft Defender XDR, Sentinel, KQL, Microsoft Copilot Studio, MITRE ATT&CK mapping, risk engines, behavioral threat modeling, ServiceNow, Logic Apps, API-driven workflows, AI governance, drift monitoring, production lifecycle management, graph-based reasoning, ontology-driven AI models.
Roles & Responsibilities:
- Design and deploy machine learning models for threat classification, anomaly detection, and risk scoring in production environments.
- Build LLM-based agents capable of contextual reasoning, summarization, classification, and workflow execution for enterprise security.
- Engineer prompt strategies and structured evaluation frameworks to ensure reliability and repeatability of AI systems.
- Develop multi-agent systems that automate operational tasks and drive measurable workforce efficiency gains.
- Integrate AI outputs into enforcement platforms including conditional access triggers, device isolation logic, and adaptive workflows.
- Implement regression, classification, clustering, or anomaly detection models aligned to real-world telemetry data.
- Design guardrails, kill switches, and rollback mechanisms to ensure safe AI deployment in regulated environments.
- Partner with Data Engineering teams to develop feature pipelines and production-ready datasets for AI models.
- Build model monitoring and feedback loops to continuously improve precision and reduce false positives.
- Contribute to ontology-driven reasoning and entity-aware AI decisioning systems where applicable to business needs.
Experience Required: 4-6+ years of hands-on AI/ML engineering experience with strong proficiency in deploying production AI systems integrated into enterprise platforms. Experience with LLM-based systems, prompt engineering, agent-based workflows, supervised and unsupervised learning techniques required