AI Solutions Engineer

Texas Instruments; Dallas (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Texas Instruments in Dallas is seeking an AI/ML engineer to design and build AI-enabled solutions spanning discriminative and generative models using a mix of classical and neural network approaches.

You will assemble efficient data pipelines, develop agents using the latest LLMs or train networks from scratch, rigorously test deployments and monitor for accuracy and drift, collaborating with TI's design, manufacturing, planning and sales teams to deliver robust, scalable results.

Qualifications

• Design AI/ML solutions using ML models and data pipelines.
• Experience with LLMs or transformer models is a plus.
• Strong collaboration across internal teams.

Responsibilities

• Design AI/ML solutions for discriminative and generative applications using classical and neural network models.
• Assemble efficient data pipelines and develop agents using the latest LLMs or train networks from scratch.
• Test deployments rigorously and monitor for accuracy and drift.

Skills

AI/ML engineering

Data pipelines

LLMs

Transformers

Job description

Change the world. Love your job.

In your first year with TI you’ll join the Career Accelerator Program (CAP) – a fast‑track development experience that blends professional‑skill workshops, technical training and on‑the‑job learning so you can start delivering real‑world impact from day1.

About the job:

Design and build AI enabled solutions for discriminative and generative applications using a combination of classical and neural network (MLPs, RNNs, CNNs, GNNs, transformers) based machine learning algorithms. Put together efficient data pipelines, develop agents using the latest LLMs or train new networks from scratch, test with rigor and monitor deployments for accuracy and drift.

Work with partners across TI to address a wide variety of applications including design (software, digital, analog), manufacturing (process development, fabrication, testing), sales (pricing, recommendations), planning, and general productivity.Deliver robust scalable, performant, and secure solutions.