Job Description :

CloudIT is hiring for one of its leading clients, an advanced technology solutions company with 10,000+ employees and a strong presence across major metro cities including Pune, Noida, Hyderabad, Bangalore and so on.

The Senior Architect will be a foundational member of the Agentic AI Platforms team responsible for the technical architecture hands-on engineering and developer experience of the Client IQ High-Code Agent Starter Kit and its federation with the NEO control plane. This role demands someone who is equally comfortable defining architecture patterns in a strategy document and writing production Python code that ships in a CI/CD pipeline the same week.

Key Responsibilities :

- Architecture & Design : Define agent runtime architecture skill contracts A2 A interoperability patterns and guardrails pipelines for production-grade agent

- Platform Engineering : Own the technical implementation of the Client IQ Agent Starter Kit across Vertex AI (Client GCP) and Microsoft Foundry (Azure DNA) paths

- Integration : Architect federation patterns between Client IQ build surfaces the NEO control plane with Enterprise systems via High Code Agents Custom Connectors Skills leveraging GE Agent Registry observability policy enforcement)

- Developer Experience : Design and build developer tooling (CLI VS Code extensions reference implementations) that enables a deployable agent within a single sprint.

- Observability & Reliability : Implement distributed tracing (Open Telemetry) structured logging cost tracking and evaluation frameworks across both cloud platforms

- Security Architecture : Drive continuous improvement initiatives in data processes and systems. Promote standardization and automation to enhance efficiency and accuracy. Support regional and global data projects.

- Governance Enablement : Build compliance automation into the CI/CD pipeline registry registration guardrails validation governance gate traceability

- Hands-On Delivery : Write production code review pull requests build proof-of concepts and pair with product teams to unblock technical challenges

- Stakeholder Engagement : Partner with product engineering and other technology teams to integrate Agentic AI solutions. Drive cross-functional collaboration to ensure seamless implementation of Gen AI initiatives. Promote a cohesive approach to technology development and innovation.