Experience: Director
Salary: $180,000 - $250,000 per year
Job Details
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Director of AI / Generative AI Platform (Greenfield Build)
We are launching a greenfield enterprise AI platform focused on building and deploying Generative AI, agent-based systems, and intelligent automation into real production environments.
This is a founding-level leadership role responsible for standing up the AI function from the ground up. You will serve as both architect and hands-on builder, defining the platform, delivering early production use cases, and scaling a new AI engineering organization over time.
This is a builder-first role in a new function - you will be directly responsible for building and shipping production AI systems.
What You’ll Do
Architect and deliver a greenfield enterprise AI platform
Design and deploy production-grade RAG, LLM, and agent-based systems
Build and operationalize AI use cases tied to real business impact (e.g., supply chain, operations, automation)
Stand up and scale an initial AI engineering team (~3 engineers)
Define enterprise AI architecture using Databricks + Microsoft ecosystem
Own end-to-end AI delivery: architecture development deployment iteration
Drive adoption of Copilot, RPA, and intelligent automation across the enterprise
Partner with business stakeholders to translate operational challenges into AI solutions
Must-Have Skills
Enterprise AI / Generative AI architecture with hands-on production build experience
Proven experience building and deploying LLM, RAG, or agent-based systems in production
Strong ability to design end-to-end AI systems (architecture + implementation)
Experience with Databricks + MLflow (or equivalent AI platforms)
Experience building or scaling AI engineering teams
Strong technical depth—this is a builder-first role, not strategy-only
Required Experience
10+ years in artificial intelligence, machine learning, automation, or related technical fields
Demonstrated experience designing and deploying AI/ML or Generative AI systems in production environments
Experience owning technical delivery of AI systems and leading AI/ML engineering execution (hands-on leadership)
Preferred Experience
12–15+ years of progressive experience across AI engineering, ML engineering, intelligent automation, or enterprise data platforms
Experience building or contributing to enterprise AI platforms or greenfield AI initiatives
Hands-on experience with modern AI ecosystems such as:
Databricks (MLflow, model serving, vector search)
Microsoft AI stack (Azure ML, Copilot, Power Automate)
Experience delivering AI-driven solutions tied to measurable business outcomes (automation, operational efficiency, decision support)
Nice-to-Have
Agentic AI / multi-agent systems (LangChain, LangGraph, AutoGen)
Microsoft Copilot integration experience
Power Automate / RPA exposure
Supply chain, logistics, or enterprise operations AI use cases
Vector databases / embeddings (Pinecone, Weaviate, FAISS)
ERP / CRM AI integrations (SAP, Salesforce, Dynamics)
A bit about us:
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We’re a growing, innovation-focused organization investing heavily in enterprise data and AI capabilities. Our technology environment is centered around a modern data platform, and we’re now scaling advanced AI solutions, including generative AI, multi-agent systems, and intelligent automation to drive measurable business outcomes.
This is not a research role, this is about operationalizing AI at scale.
Why join us?
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Greenfield opportunity to build enterprise AI capability from scratch
High ownership role spanning architecture, execution, and early team leadership
Direct impact on operational efficiency (supply chain + business automation use cases)
Modern AI stack centered on Databricks + Microsoft Copilot ecosystem
Visible role working directly with senior leadership
Comprehensive benefits including medical/dental/vision, 401(k) with profit sharing, tuition reimbursement, and flexible spending programs.
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