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.
SKILLS & QUALIFICATIONS
----------------------------
Must-Have:
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 <20 to 100+ engineers.
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