Director of AI & Data Platform

The role

You will own the AI Platform and Data pillar end-to-end to power non-engineering functions. You will lead a multi-team organization to build an AI-native data platform, agent orchestration, and private LLM strategies.

What you will do

• Own the strategy, roadmap, and execution for the AI Platform & Data pillar
• Scale and lead a multi-team organization including Orchestration, Data Engineering, Analytics, and Governance
• Build the AI-native data platform with CDC pipelines and a semantic layer
• Reinvent the analytics function through agent-driven insights
• Define architectural patterns for product teams to ship AI-powered internal workflows
• Own the private LLM strategy, including model selection, fine-tuning, and deployment
• Establish architecture for routing workloads between private and external models
• Build and govern training and evaluation data pipelines
• Partner with Security, Engineering, Legal, and Product teams on private-model use cases
• Establish a governance framework for model access, data classification, and cost controls

Required qualifications

• 10+ years in software, data, or platform engineering
• 6+ years leading engineering teams
• At least 2 years managing managers
• Track record building and shipping platform products at scale
• Deep hands-on fluency with the modern AI stack including LLMs, RAG, agent frameworks, MCP, prompt engineering, and evaluation/observability
• Hands-on understanding of private LLM deployment and optimization
• Experience designing hybrid AI architectures
• Strong data engineering and analytics foundation including lakehouse architectures, CDC, streaming, and semantic layers
• Security and governance mindset
• Ability to partner with non-technical business functions

Nice to have

• Background in cybersecurity, critical infrastructure, or another regulated industry
• Experience fine-tuning or post-training open-weight models for enterprise, cybersecurity, software engineering, or domain-specific use cases
• Familiarity with private inference platforms and tooling such as vLLM, SGLang, Hugging Face, NVIDIA NIM, or Kubernetes-based GPU serving
• Experience automating revenue operations, finance, HR, or legal workflows through AI
• Familiarity with SugarCRM, Salesforce, or comparable enterprise system metadata and integration patterns
• Experience standing up MCP servers, agent infrastructure, or AI gateways in production
• A point of view on how AI is changing the way internal engineering teams ship software

About the company

OPSWAT is a global leader in IT, OT, and ICS critical infrastructure cybersecurity. It delivers an end-to-end platform to protect complex networks, secure devices, and ensure compliance.