AI Solutions Architect
Keysight Technologies, Inc. (company site, opens in a new tab)7+ yrsGurugramRemoteDirect career pageEst. 25–40 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement end-to-end AI solutions focusing on LLM and RAG architectures on AWS, ensuring scalability, reliability, and security.
- Lead solution discovery, architecture reviews, proof-of-concepts with customers and internal teams, including evaluation of models, vector stores, and frameworks.
- Guide engineering teams and produce architecture documentation for full-stack implementations using Python, Django, and React.
Minimum Requirements
- 7+ years of software engineering experience including solution or software architecture.
- Strong proficiency in Python, Django, React, and deep AWS architecture knowledge (e.g., Bedrock, SageMaker, ECS/EKS, Lambda, OpenSearch).
- Hands-on AI experience specifically with designing and shipping LLM and RAG systems, embeddings, vector databases, prompt engineering, and evaluation.
- Work Experience Required: 7+ years in software engineering; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in architecting and operationalizing AI systems with emphasis on LLM and retrieval-augmented generation on cloud (AWS) at scale.
- Capabilities include strategic system design integrating data ingestion, security, observability, cost optimization, and governance practices.
- Comfortable working directly with customers and internal engineering teams, bridging technical solutions with business needs, including pre-sales or consulting exposure as a plus.