Cross Stream Innovation Architect

W3Global; Genf; On-site; CHF 180,000 - 230,000; Full time

Job summary

W3Global seeks a Cross Stream Innovation Architect to lead architecture and technical strategy across AI products delivery, innovative software engineering, and citizen development Enablement. You will define standards, reference architectures, and governance, ensuring secure, scalable, and measurable solutions.

Roles include developing enterprise LLM playbooks, authoring reference blueprints, and guiding service decomposition aligned with platform roadmaps.

Qualifications

• 5-7+ years in enterprise/solution/AI architecture with hands-on delivery.
• Deep experience with Azure AI/OpenAI, Copilot Studio, RAG pipelines.
• Strong background in cloud-native architecture, APIs, security and integration patterns.
• Power Platform governance for citizen development at scale.
• Demonstrated Responsible AI controls (safety, monitoring, bias checks).
• Excellent communication and influence across product, engineering, security, and business teams.

Responsibilities

• Define and communicate architecture vision and standards for AI, application, data, integration, and security across streams.
• Make tenant-level AI decisions (tool selection, data residency, safety posture).
• Develop enterprise LLM playbook defining model criteria, usage guidelines, cost and governance rules.
• Author reference blueprints for Copilot Studio, MCP/A2A and RAG pipelines.
• Define evaluation gates (quality, safety, performance) and standardize prompts/telemetry.
• Translate business needs into end-to-end solution designs (integration, data contracts, release strategy).
• Guide decomposition into services/agents and ensure reuse with platform roadmaps.
• Support delivery teams during build/run.
• Architect Power Platform Core (environments, DLP, connectors, ALM, identity & access).
• Co-design the Center of Excellence operating model for Citizen Development: onboarding, safe zones, quality checks, transition to IT.
• Define maker-ready templates for AI-enabled apps/flows/copilots.
• Implement guardrails and AI risks mitigations: content filters, grounding policies, bias checks.
• Define incident playbooks (red-teaming cadence, rollback criteria, HIL fallback).
• Embed observability and SLOs; mentor engineers in framework-first delivery.
• Comms/Change for stakeholder engagement; present architecture and results to leadership.

Skills

Architecture leadership

Azure AI/OpenAI

Copilot Studio

RAG pipelines

Power Platform governance

Responsible AI controls

Stakeholder management

Education

Azure Architect certification

Power Platform Architect certification

Tools

Azure Cloud

Power Platform

Dataverse

Job description

The purpose of this Cross Stream Innovation Architect is to lead architecture and technical strategy across Innovation streams: AI Products Delivery, Innovative Software Engineering (Industrialized vibecoding), and Citizen Development Enablement (Center of Expertise), ensuring secure, scalable, and measurable solutions by setting standards, designing reference architectures, and embedding Responsible AI and platforms governance.

• Specific duties and responsibilities include:
• Define and communicate the architecture vision and standards for AI, application, data, integration, and security across all streams.
• Make tenant-level AI decisions (tools selection, data residency, safety posture).
• Develop and maintain an enterprise LLM playbook defining model selection criteria, usage guidelines, cost and consumption monitoring, and governance rules for dynamic model switching
• Author reference blueprints for Conversational AI (Copilot Studio), Agentic orchestration (MCP/A2A, tool/function calling), and RAG pipelines (indexing, evaluation harnesses, observability).
• Define evaluation gates (quality, safety, performance) and standardize prompt/grounding patterns and telemetry.
• Translate business needs into end-to-end solution designs (integration, data contracts, release strategy).
• Guide decomposition into services/agents and ensure reusability and alignment with platform roadmaps.
• Support delivery teams (AI engineers, Vibe-code engineers, Power Platform engineers) during build/run.
• Architect Power Platform Core (environments, DLP, connectors, ALM, identity & access).
• Co-design the Center of Excellence operating model for Citizen Development initiative: onboarding, safe zones, quality checks, solution transition to IT.
• Define maker-ready templates/components and guidance for AI-enabled apps/flows/copilots.
• Implement guardrails and AI risks mitigations: content filters, grounding policies, jailbreak mitigation, bias/fairness checks.
• Define incident playbooks (red-teaming cadence, rollback criteria, human-in-the-loop fallback).
• Embed observability (tracing, feedback, drift monitoring) and SLOs (latency, quality, cost).
• Mentor engineers and makers; drive a culture of framework-first delivery (BMAD), documentation, and reuse.
• Comms/Change for stakeholder engagement and interaction; present architecture and results to leadership.
• Qualifications and work experience required / Team Structure:
• Architecture Leadership: 5-7+ years in enterprise/solution/AI architecture, with hands-on delivery of production AI or automation systems.
• AI & ML Systems: Deep experience with Azure AI/Azure OpenAI, Copilot Studio, RAG pipelines, vector stores, prompt engineering, and evaluation harnesses.
• Application & Integration Architecture: Strong background in cloud-native (Azure), APIs, events, security, and integration patterns.
• Power Platform & Citizen Development: Proven platform governance for Power Platform (Dataverse, DLP, environment strategy, ALM), and experience enabling citizen development at scale.
• Responsible AI: Demonstrated implementation of Responsible AI controls (safety, monitoring, red/blue teaming, bias/fairness).
• Stakeholder Management: Excellent communication and influence skills across product, engineering, security, and business teams.

Preferred/Bonus

• Experience with agentic frameworks (BMAD or similar), MCP/A2A integrations, and human-in-the-loop workflows.
• Observability for LLM systems (feedback loops, eval suites, prompt/response telemetry).

Relevant certifications (Azure Architect, Power Platform Architect).