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
Vice President of Engineering
to lead and scale our engineering organization, driving innovation, execution, and delivery of enterprise-grade agentic AI platforms.This role demands a leader who can balance
technical depth with strategic vision
— building high-performance engineering teams, fostering a culture of excellence, and ensuring our Agentic Systems deliver measurable business impact to global enterprises.If you are a proven engineering leader with a track record of building
scalable AI infrastructure, enterprise platforms, and high-impact teams
, this role offers the opportunity to shape the future of AI adoption in regulated industries.
Responsibilities
Strategic Leadership
- Define and execute the engineering strategy for XenonStack’s Agentic AI platforms.
- Partner with the executive team to align technology roadmaps with business objectives.
- Drive innovation in multi-agent orchestration, AI infrastructure, and enterprise integration.
Team Leadership & Culture
- Build, scale, and mentor a world-class engineering organization across multiple disciplines:
- Agent Architecture
- AI Interaction Engineering
- AgentOps & Observability
- Forward Deployed Engineering
- Foster a culture of deep work, ownership, and continuous learning.
- Champion diversity, equity, and inclusion in technical hiring and team culture.
Execution Excellence
- Oversee delivery of high-quality, secure, and reliable software in line with enterprise expectations.
- Establish metrics for engineering velocity, quality, and customer impact.
- Implement best practices for CI/CD, testing, and release management in AI environments.
Technology & Architecture Oversight
- Provide architectural guidance on multi-agent systems, RAG pipelines, and large-context LLM deployments.
- Ensure scalable, cost-efficient cloud architectures for AI workloads.
- Oversee integration of observability, governance, and compliance frameworks into all deployments.
Customer & Market Alignment
- Engage with strategic customers to understand needs and guide solution design.
- Stay ahead of emerging AI trends, technologies, and regulatory changes to inform product and engineering direction.
Must-Have
SKILLS & QUALIFICATIONS
12+ years in software engineering, with at least 5 years in senior leadership roles (Director, VP, or CTO).Proven experience delivering enterprise-grade AI or large-scale distributed systems.Strong understanding of LLM architectures, agent orchestration frameworks, and AI infrastructure.Expertise in scaling engineering teams from
Track record of implementing engineering governance, metrics, and high-reliability processes.
Good-to-Have
- Experience in BFSI, GRC, SOC, or other regulated industries.
- Familiarity with AI observability tools (Prometheus, OpenTelemetry, TruLens, Ragas).
- Understanding of model lifecycle management, RLHF, and AI governance frameworks.
- Background in leading cross-functional AI adoption initiatives with customers.
CAREER GROWTH & IMPACT
- Lead the global engineering direction of a category-defining Agentic AI platform.
- Shape the technical strategy for enterprise AI adoption across multiple industries.
- Opportunity to evolve into Chief Technology Officer (CTO) as the company scales.
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
.