IT Engineer,Software,Advanced
Keysight Technologies · Gurugram, India · IT
About this role
Keysight Technologies is hiring a senior-level Cloud Engineer in the software engineering function based in Gurugram, India. The posting calls out experience with AWS, GCP, Azure, LLMs.
- Role
- Cloud Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Gurugram, India
- Department
- IT
- Posted
- Feb 3, 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.
Responsibilities
We are seeking an AI Architect / Enterprise Architect to design, govern, and scale Agentic AI solutions that drive measurable productivity improvements across HR, Finance, Sales, Services, and Employee Experience functions.
This role will lead the enterprise architecture, agent orchestration strategy, and platform design for AI-powered workflows, autonomous agents, copilots, and decision-support systems, ensuring alignment with business outcomes, security, compliance, and enterprise standards.
You will work closely with business leaders, product teams, data engineering, security, and IT to translate enterprise use cases into production-grade agentic AI systems.
Key Responsibilities
Enterprise & AI Architecture
- Define the enterprise architecture for Agentic AI platforms, including LLMs, AI agents, tools, workflows, memory, orchestration, and observability