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Posted 03 July, 2026

Amex_ADM_JAVA_AI_Day0Hiring

ClifyX
India Full Time
Reference: 365_594563_26-06542

1. REQUIREMENT TEMPLATE – AI Architect

No. of positions 1

Prepared by

Account Name Client

Service Line

Must have skills - 2 skills which are non-

negotiable GenAI (LLMs, embeddings, vector stores, RAG architecture, LLM evaluation, production deployments). Frameworks such as Langchain, Langgraph. AWS/GCP/Azure cloud services and cloud-native architecture Well versed with Python Gen AI Development Experience in defining AI based solutions, coming up with AI/ML architecture

Desirable skills - 1 skill which is nice to have

Infosys role Technology Architect

Desired experience range 10–15+ years in software/architecture with 3–5+ years in AI/ML architecture

Location(s) where this position can work out of Bangalore, Pune

Does this position require working from client

office all or some days in the week? If yes pls

provide details 3 days per week from Infosys office

Is remote working allowed No

Any additional things to be checked

Responsibilities and JD in brief along with additional criteria to be considered (if any):

Key Responsibilities:

1) Understand current system architecture, components and Impact assessment to existing components

/ applications.

2) Defines end-to-end AI/ML system architecture using LLMs, Retrieval-Augmented Generation (RAG),

vector databases, orchestration tools, data flow, model lifecycle, deployment methods.

3) Selects the right technologies, frameworks, cloud services (Azure/AWS/GCP) for scalable AI systems. 4) Partner with business and technology stakeholders to translate use cases into AI solution blueprints. 5) Designs MLOps/LLMOps workflows, observability, and governance layers. Required Skills & Experience: 1) 10–15+ years in software/architecture with 3–5+ years in AI/ML architecture. 2) Strong expertise in GenAI (LLMs, embeddings, vector stores, RAG architecture, LLM evaluation, production deployments). 3) Strong experience in frameworks such as Langchain, Langgraph. 4) Proficient in AWS/GCP/Azure cloud services and cloud-native architecture. 5) Provides guidance during Python Gen AI development 6) Should be able to network within GenAI team and with other application teams for designing overall AI Architecture.

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