Posted 03 June, 2026
Amex_ADM_JAVA_AI_Day0Hiring- AI Architect
ClifyX
India
Full Time
Reference: 365_594563_26-01347
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| 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 |
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| 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 | ||
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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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