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.

Qualifications

Required qualifications 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. Preferred AWS Solutions Architect certification, fine-tuning experience, MLOps, and pre-sales or consulting background. Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.

*** 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. Required qualifications 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. Preferred AWS Solutions Architect certification, fine-tuning experience, MLOps, and pre-sales or consulting background.

Careers Privacy Statement Keysight is an Equal Opportunity Employer.