What are the responsibilities and job description for the AI Architect position at rSTAR Technologies?
Benefits:
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 :-
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
- 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
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.
- 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.