AI Solutions Architect

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 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

You will design end-to-end AI solution architectures and stay hands-on in building them, bridging customer needs, product and engineering.

Responsibilities

• Define reference architectures for LLM and RAG solutions on AWS, covering data ingestion, retrieval, orchestration, security and cost.
• Build and review full-stack implementations in Python, Django and React.
• Run solution discovery, architecture reviews and proof-of-concepts with customers and internal teams.
• Select and evaluate models, vector stores and frameworks; set evaluation, observability and governance practices.
• Ensure scalability, reliability, data privacy and compliance of AI systems.
• Guide engineering teams and write architecture documentation.
  
  

• 7+ years in software engineering, with solution or software architecture experience.
• Strong Python, Django and React; deep AWS architecture knowledge (e.g. Bedrock, SageMaker, ECS/EKS, Lambda, OpenSearch).
• AI experience is required: designing and shipping LLM and RAG systems, embeddings, vector databases, prompt engineering and LLM evaluation.
• Strong skills in system design, APIs, data modeling and security.
• Excellent communication; able to present to technical and executive audiences.
  
  

• AWS Solutions Architect certification, fine-tuning experience, MLOps, and pre-sales or consulting background.