AI Solutions Architect

Overview

Keysight is a mission-critical design enablement partner for organizations solving the world’s most complex engineering challenges. With deep engineering expertise and leading design, emulation, and test solutions, our ~16,800 employees help customers in over 100 countries accelerate innovation across communications, automotive, energy, quantum, aerospace and defense, semiconductor, and artificial intelligence markets. Learn more about what we do.

At Keysight, people come together to explore new ideas, challenge what's possible, and advance the technologies defining the future. Here, you'll find opportunities to do your best work, take your career further, and thrive in an award-winning culture. Learn more about our benefits.

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.***