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Gen AI architect

Job in 400001, Mumbai, Maharashtra, India
Listing for: ApTask
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Job Location :

- PAN India

Skill - AI/ML, Python, GenAI, Azure/AW

S
We are seeking an experienced Gen AI Architect to lead the design, development, and implementation of Generative AI solutions. The ideal candidate will have deep expertise in Large Language Models (LLMs), AI/ML architectures, cloud platforms, and enterprise-scale AI deployments. This role involves working closely with business stakeholders, data scientists, engineers, and product teams to deliver innovative AI-powered solution
s.Key Responsibiliti
es Design and architect end-to-end Generative AI solutions for enterprise application
s.Define AI/ML architecture, integration patterns, and deployment strategie
s.Evaluate, select, and implement Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and other foundation model
s.Build and optimize Retrieval-Augmented Generation (RAG) architecture
s.Develop AI agents, copilots, chatbots, and intelligent automation solution
s.Architect vector databases, knowledge management systems, and semantic search solution
s.Collaborate with business and technical teams to translate requirements into scalable AI solution
s.Establish AI governance, security, privacy, and responsible AI framework
s.Drive MLOps/LLMOps best practices for model deployment, monitoring, and lifecycle managemen

t.
Required Ski
lls Strong experience in Generative AI, Machine Learning, and Artificial Intelligen
ce.

Expertise in Large Language Models (LLMs) and Foundation Mode
ls.

Experience with RAG, prompt engineering, fine-tuning, and AI agen
ts.

Proficiency in Python and AI frameworks such as Lang Chain, Llama Index, Semantic Kernel, or simil
ar.

Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Sear
ch.

Strong knowledge of cloud platforms: AWS, Azure, or Google Cloud Platform (GC
P).

Experience with MLOps/LLMOps tools and deployment pipelin

es.
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