Senior AI Architect – Agentic Orchestration Frameworks
Keysight Technologies · Barcelona, Spain · R&D
About this role
Keysight Technologies is hiring a senior-level AI Engineer in the machine learning function based in Barcelona, Spain. The posting calls out experience with Python, SQL, PyTorch, Feature Engineering and roughly 5+ years of relevant work. Listed education preference: a Ph.D. or equivalent.
- Role
- AI Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Barcelona, Spain
- Experience
- 5+ years
- Education
- Ph.D. preferred
- Department
- R&D
- Posted
- Jan 16, 2026
More roles at Keysight Technologies
Job description
from Keysight Technologies careersKeysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
About the Team
Keysight’s Applied AI Autonomy Initiative is building next-generation AI systems that go beyond static models. The team develops agentic orchestration frameworks that allow AI agents to reason, adapt, and coordinate across complex engineering workflows involving simulation, measurement, and real-world data.
Working at the intersection of machine learning, scientific modeling, and engineering data, the team collaborates closely with simulation, measurement, and domain experts across Europe and globally.
About the Role
As a Senior Architect – Agentic Orchestration Frameworks, you will design the machine learning intelligence and data feedback foundations that enable engineering models to continuously learn, adapt, and explain their behavior.