AI Architect

Job Description

Job Description

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.