Description
- Design and deploy enterprise Generative AI solutions using LLMs, RAG, AI Agents, and Snowflake Cortex AI.
- Build AI copilots, agentic workflows, and multi-agent systems for business process automation.
- Develop scalable AI applications and APIs using Python, FastAPI, and cloud-native architectures.
- Implement semantic search, vector databases, embeddings, and knowledge retrieval solutions.
- Integrate AI solutions with enterprise data sources, applications, and cloud platforms.
- Fine-tune, evaluate, and optimize foundation models for performance, accuracy, and cost efficiency.
- Establish MLOps, AI monitoring, governance, and production deployment best practices.
- Collaborate with cross-functional teams to deliver secure, scalable, and business-driven AI solutions.
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| Role of Resource | - Lead the design, development, and deployment of enterprise AI solutions using Generative AI, LLMs, RAG, and AI Agents.
- Architect scalable and secure AI applications that drive automation and business value.
- Develop intelligent copilots, agentic workflows, and knowledge-driven AI systems.
- Integrate AI capabilities with enterprise platforms, data sources, and cloud environments.
- Optimize model performance, reliability, and cost through continuous evaluation and monitoring.
- Collaborate with business, product, and engineering teams to identify and deliver high-impact AI use cases.
- Drive AI innovation, governance, and best practices across the organization.
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| Role USP | - Opportunity to lead enterprise-wide AI transformation initiatives using cutting-edge Generative AI, LLMs, RAG, and Agentic AI technologies.
- End-to-end ownership of AI solution architecture, development, deployment, and optimization in production environments.
- Build intelligent AI agents, copilots, and autonomous workflows that deliver measurable business impact
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