GenAI Architect

Technical Landscape :

- Cloud Platforms : CP (Vertex AI, Cloud Run) and Azure DNA Environment (Azure AI Foundry, Container Apps)

- Identity : Microsoft Entra ID with Okta federation single identity plane for all personas

- CI/CD : Azure DevOps, GitHub Actions

- LLMs : Gemini (Pro, Ultra, Flash) via Vertex AI; GPT (4o, 4, 5 series) via Azure OpenAI

- Agent Interoperability : A2A protocol for agent-to-agent communication and task delegation

- Observability : Open Telemetry-based distributed tracing, structured logging, cost tracking

- Governance : ARC, EA, DPIA, Legal, Security gates enforced via CI/CD automation and compliance modules

- Incident Management : ServiceNow integration across both platforms

Education :

- Bachelors or Masters 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

Skills and Experience :

- 12+ years in software engineering, including 4+ years 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' 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)