Cross Stream Innovation Architect

Lead Technical Recruiter & Delivery Lead (UK / Europe / India)

Work Mode:
Work From Home – may have to come to office in case any workshop (may happen 2 days in Quarter)

Job Type:
Fixed Term or Permanent

European with C Permit or Swiss nationals or European with G Permit

Valid work permit holder can be considered if he/she holds open B permit

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.

• 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).
• 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.
• 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.

• 5–7+ years in enterprise/solution/AI architecture, with hands-on delivery of production AI or automation 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.
• Demonstrated implementation of Responsible AI controls (safety, monitoring, red/blue teaming, bias/fairness).
• Excellent communication and influence skills across product, engineering, security, and business teams.

• 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.

• Demonstrated implementation of Responsible AI controls (safety, monitoring, red/blue teaming, bias/fairness).

• Excellent communication and influence skills across product, engineering, security, and business teams.