- Define agentic AI reference architectures across LLM applications, RAG pipelines, tool/function calling, memory systems, multi-agent orchestration, and enterprise integrations.
- Design and deploy AI agents and autonomous workflows for business functions such as Finance, Legal, Operations, Sales, Support, and Growth.
- Evaluate foundation models and enterprise AI platforms including Gemini, Vertex AI, OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source LLMs.
- Integrate AI solutions with enterprise platforms such as Google Workspace, Slack, CRM systems, internal APIs, databases, and knowledge repositories.
- Implement observability, evaluation, guardrails, monitoring, reliability controls, and responsible AI practices for production applications.
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