Director of AI Agents research

Dream is a pioneering AI cybersecurity company delivering revolutionary defense through artificial intelligence. Our proprietary AI platform creates a unified security system safeguarding assets against existing and emerging generative cyber threats. Dream's advanced AI automates discovery, calculates risks, performs real-time threat detection, and plans an automated response. With a core focus on the ""unknowns,"" our AI transforms data into clear threat narratives and actionable defense strategies.

Dream's AI cybersecurity platform represents a paradigm shift in cyber defense, employing a novel, multi-layered approach across all organizational networks in real-time. At the core of our solution is Dream's proprietary Cyber Language Model, a groundbreaking innovation that provides real-time, contextualized intelligence for comprehensive, actionable insights into any cyber-related query or threat scenario.

We are seeking an experienced Director of AI Agents to lead an organization of engineers , ML Ops teams and more to redefine the next AI agentic infrastructure for multiple use cases across the product and organizations

Responsibilities:

• Suggests AI strategy aligned with company goals (e.g., automation, personalization, product innovation).
• Oversees AI research and development Mannaging Engineers , AI engineering, and MLOps teams.
• Evaluates AI opportunities — identifies where AI can deliver value and ensures ethical, scalable implementation.
• Collaborates with executives to translate business needs into technical roadmaps.
• Builds AI governance: compliance, ethics, and model accountability frameworks.
• Collaborate with Engineering, Product, Security
  
  

• 8+ years in AI/ML, with at least 3–5 years in a leadership role.
• Knowledge in AI agents and orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph).
• Understanding of machine learning algorithms, LLMs, and generative AI.
• Understanding in Edge AI and multimodal systems (text, vision, voice).
• Executive communication — translating complex AI concepts into ROI-focused narratives.
• Expertise in data architecture, ETL pipelines, and data governance.
• Familiarity with cloud AI platforms (AWS Sagemaker, Google Vertex AI, Azure AI Studio).
• Understanding of MLOps, CI/CD for models and AI agents, monitoring.