At TrueCommerce, your AI expertise transforms complex data and workflows into intelligent solutions that move commerce forward. We are seeking a forward-thinking Director of AI and Automation to accelerate the development and adoption of AI and Gen AI solutions across our organization.
Requirements
- 7+ years in AI engineering, machine learning, or automation.
- Experience defining, executing, and scaling AI strategies across complex global organizations from the ground up
- Previous success in accelerating software delivery with AI-augmented SDLC: implementation tools and automated testing frameworks to improve development velocity and quality
- Exposure to AI use cases across multiple domains (e.g., customer onboarding, customer support, operations).
- Familiarity with LLMs, generative AI, and prompt engineering
- Strong programming in Python (additional experience with Java, C++, or similar is a plus).
- Hands-on expertise with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Responsibilities
- Build the technical and operational backbone for applied AI solutions.
- Architect, develop, and deploy AI models, agents, and automation workflows across internal systems and customer-facing products.
- Establish reusable frameworks, APIs, and pipelines to enable scalable and efficient AI delivery.
- Apply AI/ML to core processes such as SDLC (e.g., AI copilots, test automation), EDI transaction optimization, and ERP integration.
- Partner with Product and Engineering teams to ensure seamless integration of AI capabilities into the broader platform ecosystem.
- Evaluate emerging technologies in AI, LLMs, cloud-native architecture, platform design, and applied ML to continuously evolve our automation strategy and toolset.
- Prioritize artificial intelligence and machine learning solutions across our business from improving data flow, to automating ERP integrations, and delivering automation in our workflow.
Other
- Establish the company’s AI roadmap — prioritizing initiatives that enhance workflow efficiency, data intelligence, and customer experience.
- Stand up an Automation Center of Excellence through building a scalable foundation for centralized, AI-driven automation and workflow optimization—driving consistency, speed, and measurable value.
- Champion adoption by training internal teams and promoting best practices for responsible and effective AI usage across the organization.
- Translate AI investments into measurable outcomes.
- Identify and prioritize high-ROI and AI opportunities, building business cases and success metrics for each. Collaborate across teams to measure adoption and continuous improvement post-deployment.
