AI Architect

Experience: 10 years overall | 5 years in AI System Design

Qualification: Bachelor’s/Master’s in Computer Science, Engineering, Data Science or equivalent experience.

Key Responsibilities

- Design and lead end-to-end AI/GenAI architecture for eLearning and enterprise solutions.

- Build solutions using LLMs, RAG and Agentic AI.

- Design AI solutions for content generation and multimodal experiences.

- Define cloud architecture across Azure, AWS or GCP.

- Establish MLOps/DevOps, security, governance and Responsible AI practices.

- Integrate AI solutions with enterprise platforms using APIs and microservices.

- Collaborate with business, product and engineering teams to deliver scalable AI solutions.

Must-Have Skills




- Generative AI / LLMs

- RAG & Agentic AI

- LangChain / Semantic Kernel

- Python & REST APIs

- Vector Databases – Pinecone, Weaviate, pgvector

- Azure / AWS / GCP

- Docker, Kubernetes & CI/CD

- MLOps & AI Security

- PostgreSQL / Relational Databases

Ideal Candidate A hands-on AI Architect with solid experience in LLMs, RAG, Agentic AI, cloud architecture, Python and enterprise AI solutions, with experience taking AI systems into production.

Contact me on - (phone hidden)

📌 AI Architect (Pune)
🏢 Aptara
📍 Pune