About the Role
DG Matrix is seeking AI Transformation Analysts to accelerate the adoption and implementation of artificial intelligence across all areas of our business. This role will work directly with teams across multiple functional areas of the company to identify opportunities, develop AI-powered solutions, and drive measurable improvements in productivity, efficiency, and decision-making.
The ideal candidates are a technically capable, highly motivated problem solvers who are passionate about applying AI to real-world business challenges. This is a hands-on role focused on building and deploying AI workflows, intelligent agents, and automation systems that transform how DG Matrix operates. The position offers significant exposure to cross-functional teams and leadership, with the opportunity to shape the company’s AI strategy and implementation from the ground up.
This position is open only to candidates who are currently authorized to work in the United States. We are accepting applications from direct candidates only; recruiters, staffing agencies, brokers, independent contractors, and third-party service providers will not be considered.
Key Responsibilities
- Collaborate with leadership to develop and execute a company-wide AI transformation roadmap.
- Identify and prioritize opportunities to leverage AI across engineering, manufacturing, supply chain, testing, sales, marketing, service, product development, finance, and other business functions.
- Design, develop, and deploy AI-powered workflows, intelligent agents, and automation solutions that improve operational efficiency and business performance.
- Work directly with functional leaders and employees to understand existing processes, identify inefficiencies, and translate business requirements into practical AI solutions.
- Build and integrate agentic AI systems capable of executing multistep workflows, interacting with enterprise applications, and automating repetitive tasks.
- Implement AI solutions using large language models (LLMs), APIs, automation platforms, and modern AI development frameworks.
- Integrate AI capabilities with existing enterprise systems, internal databases, and business applications to streamline workflows and improve access to information.
- Evaluate emerging AI technologies, tools, and platforms and recommend opportunities for adoption across the organization.
- Develop internal AI tools, knowledge assistants, reporting systems, and decision-support applications tailored to specific business needs.
- Establish best practices for AI implementation, including data security, reliability, scalability, and responsible AI usage.
- Support employee adoption through training, documentation, and hands-on assistance with AI tools and workflows.
- Track and communicate the impact of AI initiatives through measurable improvements in productivity, cost savings, process efficiency, and business outcomes.
Required Qualifications
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field.
- Demonstrated experience developing AI-powered workflows, agentic systems, or intelligent automation solutions through professional work, internships, academic projects, or independent development.
- Experience working with LLMs and AI development tools, frameworks, and APIs.
- Proficiency in Python or other relevant programming languages used for AI development and automation.
- Understanding of agentic AI architectures, prompt engineering, API integrations, and workflow orchestration.
- Ability to translate business problems into technical solutions and independently develop functional prototypes.
- Strong analytical and problem-solving skills, with a practical, results-oriented approach to technology implementation.
- Excellent communication skills and ability to collaborate with both technical and nontechnical stakeholders.
- Self-starter with a strong sense of ownership, intellectual curiosity, and enthusiasm for emerging AI technologies.
Preferred Qualifications
- Experience building autonomous or semiautonomous AI agents, retrieval-augmented generation (RAG) systems, or multi-agent workflows.
- Familiarity with enterprise software integrations, databases, cloud platforms, and automation technologies.
- Experience developing AI solutions that integrate with ERP, CRM, PLM, or other enterprise business systems.
- Understanding of AI evaluation, monitoring, security, and deployment best practices.
- Demonstrated portfolio of AI projects, applications, or automations deployed in real-world environments.