Director of Engineering

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.

SKILLS & QUALIFICATIONS

Must-Have:

• 
  10+ years in software engineering, with 3–5 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.