Applied AI ARCHITECT

TAC Careers•Dallas, TX

1d•Onsite

About The Position

The Arnold Companies is seeking an experienced and driven Applied AI Architect to lead the practical application of artificial intelligence across the organization. This is a hands-on, senior-level role responsible for working directly with executive leadership to identify opportunities, design solutions, and establish a disciplined framework for AI adoption company-wide. The ideal candidate will possess both the strategic ability to translate executive vision into actionable AI roadmaps and the technical depth to build, deploy, and operate these systems. This is not a research or prototyping position; daily work will involve a blend of executive-level strategy sessions and hands-on development, modeling, and associate training. This is an in-office position located in Dallas, Texas, reporting directly to the Director of IT and collaborating closely with the C-Suite and executive leadership team.

Requirements

7+ years of total experience spanning software engineering, data science, ML/AI development, or systems architecture, with meaningful time in the AI/ML space in recent years.
Proven track record of deploying AI solutions in live business environments, not just prototypes.
Deep working knowledge of large language models, AI automation frameworks, and modern ML tooling.
Experience integrating AI into real-world workflows and enterprise data infrastructure.
Ability to communicate clearly with both technical teams and executive leadership.
Ability to work autonomously while delivering at a high level within a team setting.
Self-starter with a bias toward execution, measurement, and results.
Bachelor's degree or higher.

Nice To Haves

Experience leading AI initiatives across multiple business lines or departments.
Background in data engineering, systems design, or enterprise architecture.
Familiarity with enterprise environments and change management.
Experience working directly with C-suite or senior leadership on strategic initiatives.

Responsibilities

Partner with executive leadership to identify high-impact AI use cases across operations, finance, and commercial teams.
Convert executive ideas and business objectives into structured AI roadmaps and executable programs.
Lead the development of company-wide AI standards, governance, and best practices.
Evaluate and implement AI platforms and vendors, including LLMs, automation tools, and internal copilots.
Integrate AI solutions with existing systems and data infrastructure.
Stay current on emerging AI technologies and recommend practical applications.
Hands-on design, development, and deployment of AI-driven tools and workflows that improve efficiency and decision-making.
Machine learning model development, training, fine-tuning, and evaluation.
AI model lifecycle management from data sourcing through deployment and ongoing monitoring.
Self-regulate daily work against timelines and roadmaps set by executive leadership.
Educate and guide internal teams across all departments and experience levels on effective and responsible use of AI.
Lead training programs, working sessions, and adoption initiatives for associates company-wide.
Serve as the organizational resource for AI tools, making complex capabilities accessible and actionable at every level.