4 roles. One mission: AI that ships.
Each role sits at the core of how we build — from the data foundations to the models to the GenAI experiences our clients deploy.
AI Lead
The AI Lead at TMLC sits at the intersection of hands-on engineering and technical leadership. You'll own the end-to-end delivery of AI projects — from architecture and design through to production deployment — while mentoring and guiding a team of AI, data, and GenAI engineers to do their best work.
AI Solutions Architect
TMLC wins on architecture. As an AI Solutions Architect, you'll be the technical lead on client engagements — translating enterprise problems into precise AI solution designs, owning the scoping and proposal process, and ensuring what gets built matches what was promised.
Data Engineer
At TMLC, the model is only as good as the data feeding it. As a Data Engineer, you'll own the layer that makes our enterprise AI dependable — designing and operating the pipelines, storage and feature infrastructure that every GenAI, ML and computer-vision system we ship relies on.
GenAI Engineer
As a GenAI Engineer at TMLC, you'll build the LLM-powered products our clients put in front of real users — knowledge assistants, document intelligence, copilots and multi-step agents. The hard part isn't calling an API; it's making these systems accurate, grounded and reliable at enterprise scale. That's the work.