AI Architect

We have got a contract opportunity for AI Architect @ Torrance, CA (Onsite) with one of our clients. The detail of the position is as given below.Title: GenAI Architect / AI Architect (LLM, Prompt Engineering, RAG, AWS/Azure) Location: Torrance, CA (Onsite) Duration: 6+ Months Consultants local to CA preferredJob SummaryWe are looking for a hands-on Architect GenAI Engineer / AI Architect to design and implement real-world Generative AI solutions across enterprise use cases. This role requires strong experience in LLMs, prompt engineering, RAG pipelines, and AI-driven automation, with a focus on POCs → production deployment. This is a highly practical role — candidates must have experience building and delivering working AI solutions, not just theoretical knowledge.Key ResponsibilitiesDesign and implement GenAI solutions using LLMs (OpenAI, Azure OpenAI, Claude, etc.)Build and optimize prompt engineering workflows (system prompts, chaining, evaluation)Develop RAG pipelines, agents, and context-aware AI applicationsCreate and execute POCs and scale them to production environmentsApply AI for automation, testing, validation, and SDLC optimizationAnalyze business requirements and translate them into AI-driven workflows and test strategiesSet up and manage AI/ML infrastructure on AWS/Azure (Bedrock, SageMaker, Azure AI, etc.)Implement evaluation frameworks to measure LLM performance (accuracy, hallucination, latency)Required Skills10+ years of experience with strong hands-on GenAI / LLM implementation2+ years as Architect (Design and implementation)Expertise in Prompt Engineering, RAG, Agents, and LLM workflowsStrong programming skills in PythonExperience with frameworks/tools like LangChain, LlamaIndex, LangGraph, OpenAI APIsHands-on experience deploying AI solutions on AWS or AzureExperience building end-to-end AI applications (POC → production)Strong understanding of AI evaluation techniques and model performance tuningNice To HaveExperience applying AI for QA automation, testing, or SDLC optimizationFamiliarity with Selenium, Playwright, or test automation frameworksExperience with vector databases (Pinecone, Weaviate, FAISS)Exposure to CI/CD pipelines with AI integration