Engineering Director, Agentic AI Delivery

Role Overview We are seeking a visionary Engineering Director to lead delivery of next-generation Agentic AI initiatives. You will oversee multiple autonomous AI agent systems that interact with complex enterprise workflows, external APIs, and real-time data. Your role is to translate cutting-edge AI research into reliable, scalable, and secure production systems, while providing strategic clarity to executive leadership.

Essential Duties & Responsibilities Strategic Leadership & Execution Define and execute the technical strategy for multi-agent AI systems. Own delivery roadmaps for high-priority agentic AI use cases. Communicate progress, risks, and metrics to the C-suite. Allocate engineering resources across competing projects. Technical Delivery & Architecture Transition agentic prototypes to production with robust guardrails and fail-safes. Establish standards for reliability, observability, and scalability. Optimize AI infrastructure for cost, latency, and performance. Ensure compliance with data privacy and security standards. Team & Culture Build and mentor high-performing teams of engineers and AI researchers. Collaborate with Product, Data Science, and Security teams to define capabilities and constraints. Foster a culture of innovation while maintaining production reliability. Qualifications Required: Technical Expertise Hands-on experience designing and deploying autonomous AI agents. Deep knowledge of LLMs, GenAI, vector databases, embeddings, and prompt engineering. Strong background in distributed systems, microservices, and cloud infrastructure (AWS/GCP/Azure). Experience with MLOps, observability, and AI security mitigation. Leadership & Soft Skills Strong executive communication and stakeholder management. Proven crisis management experience with autonomous systems. Strategic thinking to align technical execution with business goals. Preferred: 8+ years in software engineering with 4+ years in leadership. Experience launching enterprise or consumer AI products. Background in RLHF or domain-specific LLM fine-tuning. Familiarity with AI regulatory frameworks (e.g., EU AI Act, NIST AI RMF). Success Metrics (KPIs) Timely delivery of agentic AI use cases. Reduced failure rates and hallucinations in production. Measurable business impact from deployed agents. High leadership satisfaction with transparency and predictability. Why Join Us? Lead high-impact AI automation initiatives. Direct C-suite visibility and influence on AI strategy. Access to cutting-edge compute resources and a culture of experimentation. Opportunity to build a world-class team and set industry standards for agentic AI delivery. Location: San Jose, CA (Remote: false)