AI Architect

Benefits: 401(k) 401(k) matching Dental insurance Health insurance Paid time off Vision insurance Position Name:- AI Lead Architect · Client and the Project we are hiring for:- Molex · Replacement or a new role:- New · If Replacement then of who:- NA · Project Manager:- TBD · Duration of Project:- · Interview panelist: · Level 1 :- Randhir & Twinkle · Level 2:- Abraham · Level 2:- Vivek · Reporting Manager:- · Team Members if the incumbent will be responsible to manage:- · FTE/CONTRACT:- FTE · Location:- Onshore Job Description- We are seeking a skilled and experienced AI Lead with a strong background in AI development, Azure services, and OpenAI technologies. The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role will lead the design, development, and optimization of AI-powered chatbots and solutions for enterprise environments. Years of experience :- 12 + Years Roles and Responsiblities :- · Lead the design and deployment of RAG-based AI chatbots leveraging Azure OpenAI, Azure Cognitive Search, and vector databases. · Architect and develop APIs using Python (FastAPI), integrating OpenAI, Azure AI Services, and external systems. · Deliver scalable AI applications using Azure Functions, Azure Kubernetes Services (AKS), and Cognitive Services. · Create rapid prototypes and Proof-of-Concepts (POCs) with full technical documentation. · Continuously monitor and optimize AI workloads for performance, scalability, and cost-efficiency. · Collaborate with cross-functional teams to integrate AI components into enterprise applications. · Provide technical leadership, mentorship, and code reviews within the AI development team. Qualifications & Skills:- · 8–10 years of overall software development experience with 2–3 years working on OpenAI and Retrieval-Augmented Generation (RAG) architectures. · Proficiency in Salesforce and Einstein · Proficiency in Python and FastAPI (mandatory); C# is a plus. · Extensive hands-on experience with Azure OpenAI, Azure Cognitive Search, Azure Bot Services, and Azure Machine Learning. · Knowledge of vector databases like Pinecone, FAISS, or Weaviate. · Experience with Azure SQL, CosmosDB, and scalable backend architecture. · Familiarity with LangChain, LLamaIndex, and Microsoft Semantic Kernel (preferred). · Solid grasp of DevOps practices using Azure DevOps, Docker, and Kubernetes. · Strong understanding of secure API integration (OAuth, JWT). · Experience with Salesforce and Agentforce integrations. · Demonstrated ability to translate business needs into technical AI solutions and communicate clearly with stakeholders. Flexible work from home options available.

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