Director / Principal AI Architect – Enterprise AI (Greenfield GenAI Platform Build)

Jobot

Coppell, TX

JOB DETAILS
SALARY
$180,000–$250,000 Per Year
SKILLS
Artificial Intelligence (AI), Automation, Business Case, Ecosystems, Enterprise Architecture, Leadership, Legal, Microsoft Product Family, Production Systems, Scalable System Development, Supply Chain, Supply Chain Operations, Team Lead/Manager, Use Cases
LOCATION
Coppell, TX
POSTED
Today
Hybrid - Build, lead a new enterprise AI function from the ground up—owning GenAI, RAG, agentic systems, and automation on a modern Databricks + Microsoft stack.

This Jobot Job is hosted by: Liz Valdez
Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume.
Salary: $180,000 - $250,000 per year

A bit about us:

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?

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.

Job Details

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)

Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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About the Company

J

Jobot

Jobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values.

Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection.  As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA).

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COMPANY SIZE
100 to 499 employees
INDUSTRY
Staffing/Employment Agencies
FOUNDED
2018
WEBSITE
http://www.jobot.com