Technology Architect - AI/GenAI-Q2 FY 27
Infosys · Bengaluru · onsite · Posted 45d ago
Undisclosed8–9 yrsfulltimeSourced from
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About this role
Educational Requirements
Bachelor of Engineering
Service Line Strategic Technology Group
Responsibilities - Design and develop enterprise-grade Generative AI solutions using Python and modern AI frameworks.
- Build AI applications using LLMs, embeddings, prompts, function calling, tool usage, and agentic AI patterns.
- Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and generation use cases.
- Design end-to-end AI solutions covering: Data ingestion, Data processing, Retrieval, Generation, Evaluation.
- Work with Agentic AI frameworks such as CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, and Langfuse.
- Apply prompt engineering strategies to improve LLM accuracy, reliability, and usability.
- Evaluate the suitability of fine-tuning vs RAG based on business and technical requirements.
- Support LLM fine-tuning workflows including instruction tuning and supervised fine-tuning.
- Manage data preparation for fine-tuning, including train/validation splits, data quality checks, and contamination prevention.
- Deploy AI workloads on cloud platforms such as Azure, AWS, or GCP.
- Containerize AI applications using Docker and work with basic Kubernetes concepts.
- Apply model engineering best practices for scalable, reliable, and production-ready AI systems.
- Technology->AI-Responsible AI->Responsible AI->explainable ai
- Technology->AI-AI Engineering->LLMOps
Sourced from naukri
Skills
data qualityAsp.Net CoreDockerKubernetesC Sharpuse casesgoogle cloud platformamazon web servicesframeworktechnology architecturePythoncloudSpring BootJavaArchitectureMicroservicesHibernateJ2EeMicrosoft AzureSQL ServerArtificial Intelligence
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Infosys
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