[Hiring] Architect @Confisa International Group

Role Description

This role will be part of a strategically important AI-led growth initiative focused on expanding the company's presence across major Communications, Media & Entertainment clients in North America.

• Own the end-to-end technical architecture for the Foundational AI Platform:
• Agentic orchestration, MCP server design and MCP gateway integration, observability/SRE, ITSM/AIOps, and AI solutions targeting applications hosted on Azure and GCP.
• Drive joint architecture decisions with the Knowledge Fabric team, the client's AI platform teams, and the partner ecosystem.

• Key responsibilities include:
• Architect the agent orchestration layer:
• Multi-agent topologies, planning/reasoning patterns, agent-to-agent communication, human-in-the-loop gates, fallback and recovery.
• Define the Cockpit/control plane:
• Agent registry, version control, deployment, runtime configuration, policy enforcement, traceability dashboards.
• Define the Guardrails & Responsible AI architecture:
• PII redaction, content safety, jailbreak resistance, output validation, policy-as-code, model risk management.
• Design the agent observability and evaluation architecture:
• Tracing, token/cost telemetry, golden-set regression suites, drift detection, A/B harnesses.
• Architect Agent & Copilot Starter Kits:
• Reusable templates spanning AIOps (triage, incident commander, RCA, resolution, SOP, postmortem, change-impact), engineering productivity, and domain-specific copilots.
• MCP server + MCP gateway (own — key area):
• MCP server reference design (Resources, Tools, Prompts, Sampling) and an implementation playbook for service-line teams.
• MCP gateway: discovery, registry, routing, transport bridging (stdio / Streamable HTTP / SSE), multi-tenancy.
• AuthN/AuthZ via OAuth 2.1, OIDC, On behalf of execution.
• Knowledge Fabric collaboration (consume, not build):
• Define retrieval, schema, and SLA contracts with the KF team. Integrate GraphRAG outputs into agents; feedback quality signals.
• AI solutions on Azure + GCP application estates:
• Architect agentic and RAG solutions using Azure (Azure OpenAI, AI Foundry, AI Search, Cosmos DB, AKS) and GCP (Vertex AI, Gemini, BigQuery, GKE) services native to the apps being served.
• Cross-cloud connectivity, hybrid retrieval, model/inference routing, secrets and identity propagation across estates.
• Engineering excellence and leadership:
• Architecture reviews, design standards, mentoring pods across business units; co-own roadmap with the joint PMO; drive AI-native SDLC adoption (spec-driven frameworks, AI coding assistants).

Qualifications

• 10+ years in architecture
• 3+ years experience in GenAI/agentic systems (2+ years live production experience)
• Hands-on MCP — server implementation and gateway integration
• Agent frameworks (LangGraph, AutoGen, Semantic Kernel or equivalent), RAG/GraphRAG, evals, guardrails
• Azure and GCP AI/data stacks; Kubernetes; IaC
• Strong API, security (OAuth 2.1/OIDC/mTLS), and observability fundamentals

Requirements

• AIOps / ITSM integration (ServiceNow, observability platforms)
• Spec-driven dev (BMAD, Spec Kit, OpenSpec) and AI coding assistants
• Multi-vendor delivery in regulated enterprises