GenAI professionals with RAG, Agentic AI, and LLMOps expertise_Coforge
- Source: Naukri
- Coforge
- On-site
- Bengaluru
- Full-Time
- Senior
Job Description
Position: GenAI Architect / Lead AI Engineer
Experience: 815 Years
Location: Hyderabad / Bengaluru/Pune
Work Mode: Work From Office (WFO)
About the Role
We are looking for a highly skilled GenAI Architect to design and deliver enterprise-scale Generative AI solutions. The ideal candidate will have strong expertise in LLMs, RAG architectures, Agentic AI, LLMOps, and AI Governance, with experience building production-grade AI systems.
Key Responsibilities
- Design and implement scalable GenAI solutions leveraging LLMs, RAG, and Agentic AI frameworks.
- Build end-to-end RAG pipelines including chunking, embeddings, indexing, retrieval, and re-ranking.
- Develop agentic workflows using LangChain, LlamaIndex, Semantic Kernel, and AI agents.
- Establish LLMOps/MLOps practices including CI/CD, model evaluation, observability, monitoring, and governance.
- Integrate enterprise systems through secure tool/function calling with guardrails and RBAC controls.
- Evaluate and deploy LLMs such as GPT-4, Claude, Llama, Cohere, and Azure OpenAI.
- Drive AI security, compliance, governance, and Responsible AI initiatives.
- Lead POCs and transform them into production-ready AI solutions.
- Mentor engineering teams and define GenAI best practices and frameworks.
Required Skills
- 7+ years of experience in Software Engineering, AI/ML, or Data Engineering.
- 5+ years of hands-on experience in Generative AI and LLMs.
- Strong expertise in RAG, Agentic AI, Prompt Engineering, and Fine-Tuning.
- Experience with LangChain, LlamaIndex, Semantic Kernel.
- Knowledge of Vector Databases: Azure AI Search, Pinecone, Weaviate, FAISS.
- Strong Python programming skills.
- Experience with Azure OpenAI, GPT-4, Claude, Llama, Cohere.
- Hands-on exposure to MLOps/LLMOps, CI/CD, monitoring, and AI governance.
- Experience building secure, enterprise-grade AI applications.
Important Notes
Immediate to 30 days notice preferred.
Interested candidates can share their updated resume to [email protected] with the following details:
- Total Experience:
- Relevant GenAI Experience:
- Relevant RAG Experience:
- Notice Period:
- Current CTC:
- Expected CTC:
- Current Location:
Skills
- mode
- LangChain
- LlamaIndex
- guardrails
- claude-by-anthropic
- meta-llama
- llama
- cohere
- microsoft-azure
- azure-search
- FAISS
- Python
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