Director, Enterprise AI Adoption
Listed on 2025-10-08
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IT/Tech
AI Engineer, Cloud Computing, Machine Learning/ ML Engineer, Data Science Manager
Overview
Join to apply for the Director, Enterprise AI Adoption role at WEKA
WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with Neural Mesh, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, Neural Mesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
WEKA is a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the world’s leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success.
If we sound like your kind of people, join us!
The Role
We re searching for a strategic and technically capable leader to embed AI across our internal operations—transforming productivity, enabling smarter decision-making, and strengthening organizational agility from within. This is a rare opportunity to build and deploy AI agents that augment workflows and unlock new capabilities for teams across engineering, operations, HR, finance, and customer-facing functions.
You’ll be the enterprise AI adoption leader driving measurable outcomes by designing, building, and rolling out AI-powered solutions across critical business functions. You’ll work on enterprise-scale integrations (leveraging REST APIs, internal systems, and SaaS platforms) to ensure AI adoption is seamless and impactful. You’ll evaluate and select the right third-party AI tools and solutions to complement internal development and accelerate adoption.
You will also lead a cross-functional program that blends strategy, enablement, governance, and hands-on technical execution
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Responsibilities Include
- Define & Champion the AI Adoption Strategy Shape and execute the enterprise-wide AI adoption roadmap in collaboration with senior leadership, functional heads, and project teams.
- Evaluate and Integrate Third-Party AI Solutions Research, assess, and recommend external AI platforms, tools, and services. Ensure alignment with WEKA’s technical architecture, security, and compliance standards.
- Build AI Solutions and Agents Design, prototype, and deploy AI agents that integrate into core workflows—driving automation, augmenting decision-making, and unlocking new efficiencies.
- Integrate Systems at Scale Partner with IT, engineering, and business stakeholders to deliver integrations between AI solutions and enterprise applications via REST APIs, internal data systems, and third-party platforms.
- Enable Adoption & Scale Lead pilots end-to-end—scope, implementation, training, and scaling—while creating enablement toolkits and training to empower widespread adoption.
- Measure, Learn, Iterate Track adoption, measure impact (ROI, adoption metrics, productivity gains), and refine approaches for greater business value.
- Establish AI Governance Define frameworks and guardrails for ethical, secure, and compliant AI use, working closely with Security, Legal, and Compliance teams.
- Hands-on experience building AI agents and applying modern AI/ML technologies to real-world business use cases.
- Proven expertise in evaluating and integrating third-party AI solutions, balancing build vs. buy decisions.
- Proven expertise in enterprise integrations using REST APIs, and knowledge of connecting AI systems to core enterprise tools and SaaS platforms.
- Strong development experience with Python and Postgres databases, with the ability to contribute to solution prototyping and guide technical teams.
- Track record of successfully driving enterprise adoption of new technologies, programs, or platforms.
- Excellent communicator and collaborator—skilled at engaging stakeholders from executives to frontline team members.
- Strong analytical…
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