Responsibilities
Lead the design and deployment of multi-agent orchestration systems and Agentic AI frameworks
Architect solutions integrating LLMs, MCP, RAG frameworks, and tool calling into enterprise workflows
Familiarity with workflow automation platforms and orchestration tools
Define reference architectures and best practices for AI adoption across business units
Drive AI workload optimization across AWS, Azure, and GCP
Establish multi-cloud strategies for scalable, resilient AI services
Evaluate and integrate cloud-native AI/ML services into enterprise platforms
Champion AI governance frameworks ensuring responsible, ethical, and compliant AI usage
Define enterprise-wide policies for data privacy, model transparency, and regulatory compliance
Collaborate with risk and compliance teams to align AI initiatives with global standards
Shape enterprise AI strategy,



identifying prospects for Agentic AI-driven automation and multi-agent collaboration
Stay ahead of emerging AI technologies and frameworks, advising leadership on adoption
Partner with executives to align AI initiatives with business transformation goals
Mentor architects, engineers, and data scientists on advanced AI frameworks
Build cross-functional collaboration between IT, data, and business teams
Represent the enterprise in industry forums, conferences, and AI consortiums

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📌 Gen Ai Architect Karnataka (India)
🏢 Code Work It Solutions
📍 India