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AI Architect – Generative AI

MindBrainMumbai, IN

3 days ago

Job description

Job Title : AI Architect – Generative AI

Experience : 8–10 Years

Location : Remote (Contractual Role)

Duration : 12 months

Type : Contract (Full-time / Part-time – depending on your need)

Job Summary :

We are seeking a highly experienced AI Architect with a strong background in AI / ML systems architecture and Generative AI technologies to lead the design and implementation of innovative, AI-driven solutions. The ideal candidate will be responsible for driving end-to-end AI architecture, with a strong focus on LLMs, transformer models, embeddings, RAG pipelines , and deploying enterprise-ready AI applications at scale.

Key Responsibilities :

Design, develop, and oversee scalable AI / ML architectures across cloud and hybrid environments.
Lead the implementation of Generative AI solutions , including LLM-based applications (e.g., GPT, LLaMA, Claude).
Architect and optimize Retrieval-Augmented Generation (RAG) pipelines and vector database integration.
Collaborate with product, data science, and engineering teams to translate business requirements into robust AI systems.
Evaluate and integrate open-source and commercial GenAI models (e.g., Hugging Face, OpenAI, Anthropic).
Establish best practices for model fine-tuning , prompt engineering , and AI safety / compliance .
Drive PoC to production lifecycle for GenAI tools like chatbots, document summarizers, copilots, etc.
Maintain technical documentation, governance frameworks, and model performance monitoring.

Must-Have Skills :

8–10 years of experience in AI / ML development and architecture .

Hands-on experience with Generative AI models like GPT, BERT, LLaMA, Claude, etc.

Deep knowledge of LLMs , transformer architectures , embedding models , and fine-tuning techniques .

Expertise in Python , TensorFlow / PyTorch , and Hugging Face Transformers .

Experience with LangChain , LLM orchestration , and vector DBs like Pinecone , FAISS , or Weaviate .

Solid understanding of cloud services (AWS / GCP / Azure), Kubernetes, and scalable model deployment strategies.

Familiarity with MLOps practices , including CI / CD for ML, experiment tracking, and monitoring.

Strong knowledge of data privacy , AI ethics , and responsible AI frameworks .

Preferred Skills :

Exposure to multi-modal models (vision + language).

Experience deploying enterprise GenAI use cases (e.g., document processing, customer support bots, knowledge assistants).

Contributions to open-source GenAI frameworks or communities.

Strong communication and stakeholder management skills.

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Generative Ai Architect • Mumbai, IN