Experience
10 - 15 yrs
Job Location
Prayagraj, India
Vacancy
1
Designation
Solution Architect
Job Type
Not specified
Job Description
Solution Architect
(AI + GCP + Generative AI + (RAG))
11:00 am to 8 pm
(Candidate has to be flexible, and may require 4 hours overlap of US hours with EST
Chennai - Hyrbrid(Hybrid - Candidate has to work 3 days from office in a week)
6+Months C2H
Exp :- 10 - 15 yrs
We are looking for a skilled AI Developer with hands-on experience in building intelligent chat agents and conversational AI solutions. The ideal candidate should have strong expertise in Generative AI, Retrieval-Augmented Generation (RAG), OCR pipelines, API integrations, and experience working with platforms like IBM Watson.
This role involves designing, developing, and deploying scalable AI-driven solutions on cloud platforms (preferably GCP) to solve real-world business problems.
Solution Architect with experience in any cloud platform with strong exposure to AI concepts.
Key Responsibilities
Design and develop AI-powered chatbots and conversational agents using modern LLM frameworks
Implement RAG-based architectures for enterprise knowledge retrieval and question-answering systems
Build and integrate OCR pipelines to extract and process structured/unstructured data from documents
Develop and consume RESTful APIs for seamless system integrations
Work with Python-based AI/ML frameworks to build scalable backend systems
Leverage Google Cloud Platform (GCP) services for deployment, scaling, and monitoring
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
(AI + GCP + Generative AI + (RAG))
11:00 am to 8 pm
(Candidate has to be flexible, and may require 4 hours overlap of US hours with EST
Chennai - Hyrbrid(Hybrid - Candidate has to work 3 days from office in a week)
6+Months C2H
Exp :- 10 - 15 yrs
We are looking for a skilled AI Developer with hands-on experience in building intelligent chat agents and conversational AI solutions. The ideal candidate should have strong expertise in Generative AI, Retrieval-Augmented Generation (RAG), OCR pipelines, API integrations, and experience working with platforms like IBM Watson.
This role involves designing, developing, and deploying scalable AI-driven solutions on cloud platforms (preferably GCP) to solve real-world business problems.
Solution Architect with experience in any cloud platform with strong exposure to AI concepts.
Key Responsibilities
Design and develop AI-powered chatbots and conversational agents using modern LLM frameworks
Implement RAG-based architectures for enterprise knowledge retrieval and question-answering systems
Build and integrate OCR pipelines to extract and process structured/unstructured data from documents
Develop and consume RESTful APIs for seamless system integrations
Work with Python-based AI/ML frameworks to build scalable backend systems
Leverage Google Cloud Platform (GCP) services for deployment, scaling, and monitoring
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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