Required Skills:
- Agentic AI Architecture: Agent Architecture Design, Multi-Agent Systems and Coordination, Agent Memory and Context Management, Agent Orchestration and Workflow Design, Tool Integration and Failover Strategies.
- Enterprise AI Platform Design: Vector Databases and Semantic Search, Embeddings and Retrieval Frameworks, LLM Gateway and Model Routing, AI Inference Optimization, AI Cost Governance and Monitoring, Enterprise AI Platform Architecture.
- Integration and Data Architecture: SAP, Salesforce, ServiceNow, and Appian Integration, API Architecture and Contract Design, Event-Driven Architecture, Kafka/MSK and Streaming Platforms, Data Architecture and Security Design, Enterprise Integration Patterns.
- Security and Responsible AI: OAuth and Identity Management, Azure AD / Enterprise Authentication, Responsible AI Guardrails, Bias Detection and Risk Mitigation, Audit Logging and Traceability, GDPR, SOX, and Regulatory Compliance, Data Privacy and Sovereignty Management.
- Reusable Blueprinting: Enterprise Reference Architectures, Reusable AI Solution Patterns, Platform Standards and Governance, Scalable AI Design Frameworks, Architecture Best Practices and Guidelines, Enterprise AI Modernization Strategies.
Professional Skills:
- Solution Architecture and Technical Leadership, Strategic Problem Solving, Cross-Functional Collaboration, Stakeholder and Client Engagement, Communication and Presentation Skills, Team Leadership and Mentoring, Innovation and Continuous Improvement, Technology Advisory and Decision Making.
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