Our Client  is seeking a Senior Solutions Architect .

Responsibilities:

• Own the end-to-end technical design of LLM and AI platform capabilities, including new solutions and enhancements to existing systems
• Translate product and business requirements into clear solution designs, technical plans, and development tasks
• Make and document architecture decisions, technical tradeoffs, integration patterns, and engineering standards
• Provide technical direction to engineers, remove technical blockers, and ensure alignment across application, data, cloud, security, and platform teams
• Design, develop, and maintain scalable Python services, APIs, and microservices using FastAPI or Flask
• Contribute directly to complex or foundational code and lead code reviews to ensure quality, security, maintainability, and performance
• Define reusable development patterns, testing practices, API standards, and documentation expectations for the team
• Lead the design and implementation of LLM applications, LangChain workflows, and Retrieval-Augmented Generation (RAG) pipelines
• Guide model, prompt, embedding, chunking, retrieval, re-ranking, and evaluation strategies based on use-case requirements
• Architect and optimize vector-store solutions using technologies such as Pinecone, Chroma, FAISS, or Milvus
• Establish evaluation and monitoring approaches for response quality, relevance, latency, reliability, safety, and cost
• Design and oversee deployment of secure, scalable, and resilient AI services on AWS using services such as Lambda, EC2, S3, EKS, and RDS
• Partner with DevOps and MLOps teams to implement CI/CD, infrastructure automation, observability, incident response, and production support practices
• Ensure solutions meet enterprise requirements for availability, fault tolerance, security, governance, scalability, and operational readiness