Architect

Galaxi Consulting Group; Genf; Hybrid; CHF 170.000 - 230.000; Vollzeit

Zusammenfassung

Galaxi Consulting Group seeks an accomplished Cross Stream Innovation Architect for GAVI in Geneva. The role leads architecture and technical strategy across AI products, software engineering, and citizen development, ensuring secure, scalable, and governed solutions.

You will establish standards, reference architectures, and governance playbooks while guiding AI delivery teams and embedding Responsible AI practices. Hybrid work with two days in Geneva office.

Qualifikationen

• 5–7+ years in enterprise/solution/AI architecture with hands-on delivery of production AI or automation systems.
• Deep experience with Azure AI/OpenAI, Copilot Studio, RAG pipelines, vector stores, prompt engineering, and evaluation harnesses.
• Strong background in cloud-native Azure, APIs, events, security, and integration patterns.
• Proven platform governance for Power Platform (Dataverse, DLP, environment strategy, ALM), and enabling citizen development at scale.
• Demonstrated Responsible AI controls (safety, monitoring, red/blue teaming, bias/fairness).
• Excellent communication and influence skills across product, engineering, security, and business teams.

Aufgaben

• 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.
• 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.

Kenntnisse

Azure AI/OpenAI

Copilot Studio

RAG pipelines

Vector stores

Prompt engineering

Evaluation harnesses

Cloud-native Azure

APIs & integration

Security patterns

Power Platform governance

Citizen development

Responsible AI

Stakeholder management

Tools

Dataverse

Power Platform

Jobbeschreibung

Cross Stream Innovation Architect for GAVI

Location : Geneva

Fixed Term or Permanent

Hybrid – 2 days in Geneva office

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:
• 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.
• Strong background in cloud-native (Azure), APIs, events, security, and integration patterns.
• 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).