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.