Job Description :

Total Experience : 12-15 years

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 Platforms 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