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 : -

810 years of overall software development experience with 23 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.