AI Solutions Architect: ML, LLMs & Data Pipelines

118-WW TMG MFG OPS; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Texas Instruments seeks a highly qualified AI/ML researcher for the Career Accelerator Program (CAP). You will design and build AI-enabled solutions spanning discriminative and generative tasks, from data pipelines to deployment monitoring.

Collaboration with design, manufacturing and sales teams will drive real-world impact in a fast-paced environment. The role requires a PhD in a relevant field and a strong AI/ML background, with opportunities to publish and contribute to cutting-edge

Qualifications

• PhD in Electrical Engineering, Computer Engineering, Computer Science or a related technical field.
• Cumulative 3.0 / 4.0 GPA or higher.
• Strong AI/ML background with publications is preferred.

Responsibilities

• Design and build AI-enabled solutions for discriminative and generative applications using classical and neural network models.
• Develop data pipelines, train agents with the latest LLMs or from scratch, and monitor deployments for accuracy and drift.
• Collaborate with TI partners across design, manufacturing, sales, planning and productivity to deliver robust, scalable, secure AI solutions.
• Test rigorously and ensure model performance and stability in production.

Job description

Texas Instruments seeks a highly qualified AI/ML researcher for the Career Accelerator Program (CAP). You will design and build AI-enabled solutions spanning discriminative and generative tasks, from data pipelines to deployment monitoring.

Collaboration with design, manufacturing and sales teams will drive real-world impact in a fast-paced environment. The role requires a PhD in a relevant field and a strong AI/ML background, with opportunities to publish and contribute to cutting-edge