AI Solutions Architect

Job Description

We are looking for an experienced and innovative AI Solutions Architect with 6–15 years of experience to design, architect, and implement scalable, secure, and enterprise-grade Artificial Intelligence solutions. The ideal candidate should have strong expertise in Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Python, and cloud-based AI architecture. Candidates should have hands-on experience designing and deploying production-ready AI applications, integrating foundation models, developing intelligent automation solutions, and implementing enterprise AI architectures. AWS is the primary cloud platform requirement. Experience with Microsoft Azure is an added advantage. Experience: 6–15 Years Job Type: Full-Time Work Mode: On-site Locations: Hyderabad | Bengaluru | Pune Primary Cloud: AWS Secondary Cloud: Microsoft Azure (Added Advantage) We are looking for professionals who can lead AI architecture initiatives, solve complex business challenges using AI technologies, and drive innovation through Generative AI and intelligent automation.

Key Responsibilities

• Design and architect scalable, secure, and high-performance AI solutions for enterprise applications.
• Lead the architecture and implementation of Generative AI and Large Language Model (LLM)-based applications.
• Design and develop Retrieval-Augmented Generation (RAG) pipelines and intelligent knowledge retrieval systems.
• Architect AI Agents and multi-agent workflows using modern AI frameworks.
• Evaluate, integrate, and optimize foundation models and third-party AI services.
• Develop AI applications using Python, machine learning frameworks, and modern AI technologies.
• Design and implement vector database solutions for semantic search and information retrieval.
• Architect AI solutions using AWS services and cloud-native technologies.
• Implement scalable AI deployment architectures, model monitoring, and MLOps/LLMOps practices.
• Ensure AI application security, data privacy, governance, and responsible AI practices.
• Optimize AI model performance, inference latency, scalability, and operational costs.
• Collaborate with engineering, product, data science, and business teams to translate requirements into AI solutions.
• Provide technical leadership, establish AI architecture standards, and mentor AI/ML engineering teams.
• Research emerging AI technologies and recommend suitable solutions for business requirements.

Professional Skills

• Artificial Intelligence (AI) and Machine Learning (ML)
• Generative AI and Large Language Models (LLMs)
• Python Programming
• OpenAI API and Azure OpenAI
• Amazon Bedrock
• Retrieval-Augmented Generation (RAG)
• LangChain and LangGraph
• AI Agents and Multi-Agent Systems
• Vector Databases – Pinecone, FAISS, Weaviate, ChromaDB
• Deep Learning and Natural Language Processing (NLP)
• AWS Cloud Architecture
• Microsoft Azure AI Services
• MLOps and LLMOps
• Model Deployment and Monitoring
• REST APIs and Microservices
• System Design and AI Architecture
• Data Engineering and ETL Pipelines
• AI Security and Governance

Perks & Benefits

Our Vision

To become a globally trusted technology and innovation company that empowers businesses through intelligent digital solutions, artificial intelligence, and transformative technologies, enabling sustainable growth and lasting success.