Assistant Vice President – Senior Architect, Agentic AI Platforms

Inviting applications for the role of AssistantVice President - Senior Architect, Agentic AI Platforms

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 ClientIQ 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. This is not a role for someone who architects from the sidelines. We need a self-starter who thrives in ambiguity, learns new platforms with genuine curiosity, adapts quickly as enterprise decisions evolve, and stays hands-on through the entire lifecycle - from whiteboard to production deployment.

Responsibilities

• Architecture & Design- Define agent runtime architecture, skill contracts, A2A interoperability patterns, and guardrails pipelines for production-grade agent

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

• Integration - Architect federation patterns between ClientIQ 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 (OpenTelemetry), 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 GenAI initiatives. Promote a cohesive approach to technology development and innovation

Qualifications We Seek in You!

Minimum Qualifications / Skills

. Bachelor's or Master's degree in computer science, Software Engineering, or a related technical discipline

. Equivalent practical experience will be considered for exceptional candidates with a strong track record of delivery

Preferred Qualifications / Skills

• Software engineering, including experience as a senior/principal architect designing distributed AI enterprise platforms

• Visionary mindset with the ability to translate ideas into actionable strategies.

• Strong collaboration skills, partnering with segments%27 representatives, external technology vendors and suppliers.

• Strong storytelling and communication skills.

• Strong problem analysis, negotiating and influencing skills.

• Learning agility and desire to learn new technology. Growth mindset for self and team encouraging a culture of continuous learning and skill development.

• Strong hands-on expertise with Google Cloud Platform (Vertex AI, Cloud Run, IAM, Secret Manager) and/or Microsoft Azure (AI services, Container Apps, Entra ID, Key Vault) cross-cloud experience preferred

• Practical experience integrating LLMs into production workflows, including prompt management, model abstraction, evaluation, and safety pipelines

• Familiar with agentic AI patterns (ReAct, plan-and-execute, tool use, multi-agent delegation) and frameworks such as LangChain, LangGraph, Semantic Kernel A2A/A2UI protocol is a plus

• Advanced production-level Python skills for agent runtime, CLI, and skill development

• DevOps proficiency: building GitHub Actions/ DevOps pipelines, IaC (Terraform), container orchestration, automated deployments

• Skilled in identity/security standards (OAuth 2.0/OIDC, JWT, RBAC, Workload Identity Federation, managed identities)

• Experience with observability solutions: OpenTelemetry, distributed tracing, structured logging, dashboards (Cloud Monitoring, Azure Monitor)