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.