We're looking for a highly experienced AI Architect to lead the design, development, and deployment of next-generation AI and Generative AI solutions. This is an exciting opportunity to work on large-scale enterprise AI initiatives involving LLMs, RAG architectures, Machine Learning, Deep Learning, and Multi-Cloud platforms.
AI Architect (GenAI) | 10+ Y | Bangalore | Chennai | Coimbatore | Pune | Hybrid | Contract 6M |
Notice Period: Immediate Joiners Preferred
Contract 6M Period - Salary INR 150,000 Per Month (Gross)
Scope Of Work:
- Architect and lead enterprise-scale AI, Machine Learning, and Generative AI solutions.
- Design and implement advanced AI platforms leveraging LLMs, RAG frameworks, vector databases, and intelligent agents.
- Define AI architecture blueprints, technical standards, and best practices across multiple projects.
- Collaborate with business leaders, product teams, data scientists, and engineering teams to translate business requirements into scalable AI solutions.
- Build and optimize AI applications for performance, scalability, security, and governance.
- Drive AI adoption across cloud ecosystems including AWS, Azure, and GCP.
- Lead model deployment, monitoring, MLOps, and production AI lifecycle management.
- Evaluate emerging AI technologies and recommend innovative solutions to accelerate business outcomes.
- Mentor engineering teams and provide technical leadership across AI initiatives.
Key Skills:
AI & Generative AI
- Generative AI (GenAI)
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Solution Architecture
- Prompt Engineering
- AI Agents & Autonomous Workflows
- Vector Databases
Machine Learning & Deep Learning
- Machine Learning
- Deep Learning
- NLP & Transformer Models
- Model Training, Fine-Tuning & Optimization
Programming & Engineering
- Python
- API Development
- AI Frameworks (LangChain, LlamaIndex, Hugging Face, etc.)
- Data Pipelines & Model Integration
Cloud & Infrastructure
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)
- MLOps & AI Deployment Pipelines
- Containerization & Scalable Architecture
Ideal Candidate
- 10+ years of overall IT experience with significant exposure to AI and advanced analytics.
- Proven experience architecting and delivering enterprise AI/GenAI solutions.
- Deep understanding of LLM ecosystems, RAG architectures, and AI application design patterns.
- Experience working with multi-cloud environments and scalable distributed systems.
- Strong stakeholder management, consulting, and leadership capabilities.
- Ability to guide cross-functional teams from concept through production deployment.
