Job Summary
We are seeking a GenAI Architect with 13+ years of experience in Generative AI, LLMs, RAG, Vector Databases, Python, LangChain, LangGraph, Azure AI, and cloud-native AI architectures. The ideal candidate will lead the design and implementation of enterprise-scale AI solutions, architect end-to-end GenAI platforms, and provide technical leadership for AI initiatives.
Skills
- Generative AI
- Large Language Models (LLMs)
- GPT, Claude, LLaMA, Mistral
- Prompt Engineering
- RAG (Retrieval-Augmented Generation)
- Vector Databases (Pinecone, FAISS, Weaviate)
- LangChain
- LangGraph
- Python
- Hugging Face Transformers
- PyTorch
- TensorFlow
- OpenAI API
- Azure AI Foundry
- Azure Machine Learning
- Docker
- Kubernetes
- MLOps
- Microservices
- API Design
- Event-Driven Architecture
- Copilot Studio
Responsibilities
- Design and develop scalable GenAI and LLM-based solutions.
- Architect end-to-end RAG pipelines and AI workflows.
- Select and integrate foundation models based on business needs.
- Lead AI architecture reviews and mentor development teams.
- Design integrations between AI services and enterprise applications.
- Develop AI technical roadmaps aligned with business goals.
- Evaluate AI use cases and provide technical estimates.
- Implement cloud-native AI architectures and MLOps best practices.
Recruiter Contact
Recruiter: Sunkari Vamshi Goud
Company: Sage IT Inc.
To apply for this job email your details to gsunkari@sageitinc.net