Generative AI - Technical Architect

Job Title: AIML Gen AI Architect

Experience: 10+ Years

Location: Pune / Indore / Bangalore / Kolkata

Job Description: We are seeking an experienced GenAI Architect to lead the design, architecture, and implementation of enterprise-scale Generative AI solutions. The ideal candidate will have deep expertise in AI/ML architecture, Large Language Models (LLMs), and cloud-native systems, with the ability to translate business requirements into scalable, secure, and high-performance GenAI platforms.

Key Responsibilities:

•Define end-to-end architecture for Generative AI solutions, including LLMs, RAG frameworks, and Agentic AI systems

•Lead architectural decisions for scalable, secure, and cost-optimized GenAI platforms

•Design and implement RAG pipelines, vector databases, and knowledge retrieval systems

•Evaluate, select, and integrate LLMs (OpenAI, Anthropic, open-source models, etc.)

•Guide teams on prompt engineering, fine-tuning, model evaluation, and optimization

•Collaborate with business stakeholders to convert use cases into technical architectures

•Establish best practices for AI governance, security, privacy, and compliance

•Mentor AI/ML engineers and data scientists and review technical designs and code

•Drive GenAI adoption across enterprise applications and platforms

Required Skills & Qualifications:

•10+ years of experience in AI/ML, Data Science, or Advanced Analytics

•Strong hands-on and architectural experience with Generative AI and LLM-based systems

•Expertise in RAG architectures, LangChain, LangGraph, agentic frameworks

•Proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)

•Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma, etc.)

•Strong cloud experience on AWS / GCP / Azure with AI/ML services

•Experience designing microservices and API-based architectures

•Excellent communication and stakeholder management skills

Good to Have:

•Experience with multi-agent systems and autonomous workflows

•Knowledge of MLOps, CI/CD, Docker, Kubernetes

•Exposure to data engineering, streaming, and real-time AI systems

Why Join Us:

•Lead cutting-edge GenAI and Agentic AI initiatives

•Architect enterprise-grade AI platforms with real business impact

•Work in a collaborative, innovation-driven environment

Interested candidates are encouraged to apply or share their profiles for further discussion.

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