At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
About the job
We are looking for a motivated and hands-on AI Engineer III to join our CX Services team at F5. In this role, you will design, build, and deploy applied AI, NLP, and Generative AI solutions across our end-to-end enterprise ecosystem including Salesforce, Azure DevOps, Dell Boomi, Oracle Apps, Snowflake. ServiceNow, Tableau and Teams. A core focus of this role is applying AI to test automation building intelligent, self-healing automation that reduces manual QA effort and accelerates release quality.
You will collaborate with QA engineers, business analysts, platform engineers, and solution architects to implement scalable AI & test automation. This role is ideal for an engineer with a strong foundation in Python, LLMs, machine learning, and test automation who is eager to deliver measurable business impact across enterprise service delivery.
Description
At F5, we bring digital capabilities to life to empower and protect applications everywhere. Within the CX Services organization, we provide comprehensive QA as a Service, QA Automation as a Service, BA & Reporting as a Service, and Platform & Deployment Services across Salesforce, Copado, and enterprise integration platforms. We continuously explore contemporary technology trends to eliminate engineering toil and elevate delivery quality. In this role, you will work across our core service pillars to introduce AI-first automation, intelligent analytics, and automated se
📌 AI Engineer III (Hyderabad)
🏢 f5
📍 Hyderabad