AI Architecture Lead

• 12+ years of experience in software/solution architecture, data, or digital transformation, with 3+ years architecting AI/LLM or agentic AI solutions.
• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• Proven track record of:
• Architecting and delivering production AI/GenAI solutions for large enterprise clients
• Serving as design authority across multiple concurrent engagements or programs
• Operating in business-facing, consulting, or forward-deployed environments with senior stakeholders
• Strong understanding of:
• Agentic AI and LLM architectures, RAG, evaluation, and guardrails
• Data platforms, cloud, security, and compliance
• Enterprise integration and legacy modernization
• Experience engaging with CTOs, CIOs, enterprise architects, and executive stakeholders.

Willingness to travel and work onsite at business locations as required.

• AI and Agentic Systems and Platform Architecture, Standards Development
• Design Connected-Secure-Governed-Scalable Enterprise & Operations Solutions Components and Platform’s Fabric-Bus
• Convene AI Architecture Reviews, Reference Architecture(s), Evaluation of Build vs. Buy Considerations, Documentation of Choices, Subscription-Licensing Economics
• Functional-Secure-Scalable-Governed Multi-Modal Systems, Drive Cross-Functional Reusability, Guardrails, Pipelines
• Guide Engineering & Runtime Delivery Teams, Address Complex Architectural Challenges
• Interface with CTO-CIO stakeholders on Architectural Deliberations
• Deep knowledge of Leading-Edge and Emerging AI Concepts and Capabilities: Knowledge Graphs, Context Engineering, Agents Harness, and Loop Engineering

Understanding of Multi-Modal Ecosystem, Cloud, Data Mgmt., Responsible & Secure AI, Token Economics, AI FinOps