Lead Consultant - AI Architect
India - Bangalore
R
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Advance Model Context Protocol adoption
- Architect RAG solutions
- Build data governance standards for regulated environments
- Champion Git and DevOps practices
- Define AI integration architecture
- Define enterprise AI architecture strategy
- Deploy and monitor production AI workflows
- Design multi-agent orchestration
- Design scalable AI platforms on cloud
- Design vector databases for knowledge retrieval
- Develop foundation model architecture
- Ensure secure interoperable AI systems
- Establish reference architectures and standards
- Establish responsible AI controls
- Implement knowledge graphs and knowledge systems
- Lead AI lifecycle from use case to production
- Lead agentic AI architecture
- Manage work packages and demand planning
- Plan ML and deep learning pipelines
- Set up MLOps feedback loops
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Agentic AI | Amazon Bedrock | Amazon Q | Amazon SageMaker | Amazon Web Services | Artificial Intelligence | Azure AI | CI/CD | Cloud AI | Containers | Data Governance | Data Modeling | Databricks | Deep learning | Enterprise Architecture | Foundation Models | Git | Google Cloud | Google Cloud AI | Graph Databases | Information Architecture | Knowledge graphs | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Metadata cataloging | Model Context Protocol | Multi-Agent | Multi-agent orchestration | Multimodal Models | OpenAI | RAG | Retrieval-Augmented Generation | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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