Director of AI Strategy & Enterprise Innovation

BrickRed Systems LLC

Dallas (TX)

On-site

USD 180,000 - 260,000

Full time

8 days ago

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Job summary

BrickRed Systems is seeking an AI Director to lead the organization's AI strategy, innovation, and implementation across enterprise functions. You will define the AI roadmap, drive Generative and Agentic AI initiatives, establish governance, scale AI workloads, and partner with executives to translate emerging technologies into measurable business value.

This role requires strong technical depth, strategic thinking, and outstanding leadership to build new capabilities from the ground up and

Qualifications

12–18+ years of experience in technology, software engineering, AI/ML, or enterprise technology leadership.
Significant experience leading AI/ML strategy, architecture, and implementation.
Strong understanding of Generative AI, LLMs, and Agentic AI.
Hands-on experience with AI agents, multi-agent systems, and AI-powered automation.
Experience with RAG architectures, vector databases, embeddings, and LLM integration.
Strong understanding of Python and modern AI/ML development frameworks.
Experience with AI platforms and frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent.
Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
Understanding of MLOps/LLMOps, model deployment, monitoring, and scalability.
Experience integrating AI solutions with enterprise systems, APIs, and databases.
Strong understanding of data architecture, data engineering, and AI governance.
Proven experience managing technical teams and delivering enterprise-scale technology solutions.

Responsibilities

Define and drive the organization's overall AI strategy and technology roadmap.
Identify opportunities to leverage AI, Generative AI, and Agentic AI across business functions.
Establish AI standards, frameworks, architecture, and best practices.
Evaluate emerging AI technologies and identify opportunities for innovation and competitive advantage.
Drive enterprise-wide AI adoption and transformation initiatives.
Lead the development and implementation of Generative AI solutions and AI-powered applications.
Design and deploy intelligent AI agents capable of executing multi-step workflows and autonomous tasks.
Drive the adoption of Agentic AI frameworks and multi-agent architectures.
Lead initiatives involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and conversational AI.
Explore applications of AI automation, intelligent assistants, and decision-support systems.
Evaluate and integrate commercial and open-source AI models.
Oversee the design and development of scalable, secure, and enterprise-ready AI solutions.
Provide technical direction on AI/ML architecture, cloud platforms, data infrastructure, and model deployment.
Drive MLOps, LLMOps, model monitoring, and continuous improvement practices.
Ensure AI solutions integrate effectively with existing enterprise applications and technology ecosystems.
Establish standards for AI performance, scalability, reliability, and security.
Work closely with executive leadership, business teams, and clients to identify AI-driven business opportunities.
Develop innovative AI solutions that improve operational efficiency, productivity, and customer experience.
Identify opportunities to build new AI products, services, and revenue streams.
Drive AI-led consulting engagements, solution development, and strategic partnerships.
Demonstrate an entrepreneurial approach to taking ideas from concept to proof of concept and commercial deployment.
Establish measurable business outcomes and ROI for AI initiatives.