AI Architect

Job Details

• 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

AI Lead Architect

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

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

• 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.

• 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, Cosmos
  
  DB, and scalable backend architecture.
• Familiarity with Lang Chain, LLamaIndex, and Microsoft Semantic Kernel (preferred).
• Solid grasp of Dev Ops practices using Azure Dev Ops, 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.