
Define end-to-end architecture across applications, data, integration, infrastructure, and AI
Strong knowledge of cloud platforms (Azure, AWS, Google Cloud Platform)
Drive decisions on scalability, performance, resiliency, security, and cost optimization
Establish enterprise AI stacks and platform strategies
Design and implement agentic AI systems
Experience with MCP Connectors, vector databases and enterprise data ecosystems
Ability to shape AI-driven opportunities and map business problems to AI solutions
Lead CXO-level engagements, workshops, and advisory sessions
Act as a trusted advisor to clients on AI strategy and transformation roadmaps
Translate business problems into AI-driven solutions and executable architectures
Support RFP/RFI, solutioning, and large deal pursuits
Build strong executive and technical credibility with stakeholders