Director of Engineering

Job Description About Xenonstack XenonStack is the fastest-growing data and AI foundry for agentic systems, enabling people and organizations to gain real-time and intelligent business insights. - Agentic Systems for AI Agents: akira.ai - Vision AI Platform: xenonstack.ai - Inference AI Infrastructure for Agentic Systems: nexastack.ai THE OPPORTUNITY We are seeking a Director of Engineering Agentic Systems to lead our engineering teams in building and delivering secure, scalable, and high-performance AI agent platforms. This role will focus on execution excellence, technical leadership, and cross-team coordination ensuring our agentic AI solutions meet the reliability, compliance, and performance demands of enterprise and regulated industries. If you have a proven track record in scaling engineering teams, driving delivery, and fostering technical excellence, this is an opportunity to shape the execution backbone of a next-generation AI company. Responsibilities Engineering Leadership - Lead and mentor multiple engineering teams, including: - Agent Architecture - AI Interaction Engineering - AgentOps & Observability - Forward Deployed Engineering - Translate product vision and business goals into actionable engineering roadmaps. - Ensure engineering decisions align with enterprise-scale performance, compliance, and scalability standards. Execution & Delivery - Oversee sprint planning, resource allocation, and delivery schedules. - Ensure high-quality, secure, and reliable software releases. - Drive adoption of best practices for CI/CD, testing, and AI model deployment. - Track and improve engineering velocity, quality, and operational metrics. Technical Oversight - Guide architectural decisions for multi-agent orchestration, RAG pipelines, and context/memory systems. - Ensure optimal infrastructure design for cost, latency, and scalability. - Embed observability, security, and governance into all deployments. Cross-Functional Collaboration - Work closely with product management, customer success, and forward-deployed teams to ensure alignment between customer needs and engineering priorities. - Support strategic customer engagements where deep technical guidance is required. Must-Have SKILLS & QUALIFICATIONS - 10+ years in software engineering, with 35 years in engineering leadership roles. - Proven experience delivering large-scale AI, ML, or distributed systems. - Strong understanding of LLM architectures, agent orchestration frameworks (LangChain, LangGraph, AgentBridge), and AI infrastructure. - Experience managing teams across architecture, development, and deployment. - Proficiency in cloud-native architectures (AWS, GCP, Azure, Kubernetes). Good-to-Have - Experience in BFSI, GRC, SOC, or other regulated industries. - Familiarity with AI observability and evaluation frameworks (Prometheus, OpenTelemetry, TruLens, Ragas). - Understanding of AI model lifecycle management and governance. - Hands-on experience with multi-agent orchestration patterns. CAREER GROWTH & IMPACT - Opportunity to evolve into Vice President of Engineering as the company scales. - Direct influence on the delivery and reliability of category-defining Agentic AI platforms. - Lead engineering transformation in enterprise AI adoption across global clients. XENONSTACK CULTURE JOIN US & MAKE AN IMPACT We foster a culture of cultivation with bold, human-centric leadership principles. We value deep work, experimentation, and ownership in every initiative, and we are on a mission to reshape how enterprises adopt AI + Human Intelligence systems. Product Values - Obsessed with Adoption Making AI accessible and enterprise-ready. - Obsessed with Simplicity Turning complexity into seamless, intuitive AI experiences. Be a part of our vision to accelerate the world's transition to AI + Human Intelligence.