Lead Consultant - AI Architect
India - Bangalore
R
INR 3584K-5000K (estimate) Senior-level Full Time
Tasks
- Advance Model Context Protocol interoperability
- Apply MLOps for model lifecycle monitoring optimization and improvement
- Architect RAG vector databases and knowledge systems
- Build AI integration architecture and end to end data integration
- Champion modern software engineering and DevOps practices
- Define enterprise AI architecture strategy
- Design scalable AI platforms on AWS and hybrid environments
- Develop agentic data pipelines real time information flows and knowledge graphs
- Establish reference architectures and delivery standards
- Implement responsible AI governance and risk controls
- Lead architecture for agentic AI and multi agent orchestration
- Manage work packages and demand for AI and technology programs
- Plan AI pipelines across data governance model development deployment and operations
- Produce and review transformation blueprints for enterprise programs
- Secure approval for AI artifacts and enterprise data standards
- Translate strategy into scalable solutions aligned to business outcomes
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Agentic AI | Amazon Bedrock | Amazon Q | Amazon SageMaker | CI/CD | Containerization | Data Governance | Data Modeling | Databricks | DevOps | Docker | Git | Graph Services | Hybrid Cloud | Information Architecture | Knowledge graphs | Kubernetes | LLM | Landing AI | MLOps | Metadata cataloging | Model Context Protocol | Multi-Agent | Multi-agent orchestration | Multimodal AI | OpenAI | RAG | SageMaker | Vector Databases
Education
N/A
Roles
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