Lead Enterprise Architect (Aurora Agentic AI)

Nasze wymagania: Architecture & Engineering Expertise • Multi-cloud architecture (AWS, Azure) • Enterprise integration patterns, API-first design • Microservices, container-based architectures (Docker, K8s optional) • Event-driven & agentic workflows • Data architecture (Graph DB, RAG, observability pipelines) AI / LLM / Agentic Architecture • Understanding of Agentic AI ecosystems • LLM orchestration (LangChain, Graph RAG, multimodal’s role) • Knowledge retrieval, embeddings, vector DB (nice to have) • MCP protocol & MCP server integration • AI governance, ethical AI, model drift management • Multi-agent orchestration and LLM pipelines Cloud Technologies • AWS: Connect, Lex, Lambda, Bedrock, SageMaker, Textract, Q • Azure: Container Apps, Entra ID, Intune, Graph API, Azure AI, AVD/W365 • Hybrid/on-prem integration models • Zero trust architectures • Infrastructure as Code (Terraform) • Cloud security (Sentinel, SIEM, MXDR) Platform Components (Aurora-specific) • MCP Servers & Agentic AI integrations • ServiceNow (Pro Plus) Agentic Flows • Teams & WhatsApp bot integrations • Observability platforms (Datadog, Nexthink, Aternity) • Config-as-Code for M365, Intune • Knowledge management systems • Contact/Voice AI pipelines via AWS Connect & ElevenLabs Soft Skills & Leadership • Thrives in chaos: comfortable making decisions with incomplete information. • Strong team player and cross-team collaborator. • Capable of navigating large, international organizations (GDC, regional delivery, exec). • Excellent communicator—able to simplify complex architecture. • Facilitates architecture reviews, leads technical councils, and mentors tech leads. • Conflict‑resilient, assertive but collaborative. Who are we looking for? • 10+ years in solution or platform architecture at scale. • Experience leading architecture for multi-cloud, AI-driven platforms. • Demonstrated experience unifying large delivery teams across domains. • Experience with global enterprise delivery & distributed teams. • Understanding of regulated environments (GDPR, NIS2, EU AI Act). Zakres obowiązków: Platform Ownership • End-to-end architectural ownership of the Aurora Agentic AI Platform, covering Contact AI, Voice AI, AI Assistant, MCP Servers, Agentic workflows, DaaS, M365 Modern Workplace, and Observability. • Define and maintain the conceptual, logical, and technical architecture of the entire platform. • Ensure alignment with Project Aurora principles: secure-by-design, modular, composable, agile, DevSecOps-driven. Cross-Domain Leadership • Collaborate with leads across: - Python platform components - AI/LLM components - ServiceNow Agentic components - AWS & Azure cloud workloads - Security / Zero Trust architecture - Data, Graph RAG, Observability, MCP Servers • Facilitate technical decisions across teams (Voice, Back Office Agentic, Front Office Agentic, Workplace, Networks, Security). Governance & Compliance • Ensure alignment with: - Fujitsu minimum security controls - Ethical AI, privacy by design, model drift, and observability requirements. Technical Strategy • Identify platform gaps, risks, dependencies, and solution options. • Guide choices around architecture patterns, cloud integration, LLM strategy, hosting models, and data flow. • Lead decisions related to: - LLM selection (Azure OpenAI, Cohere, Bedrock models) - Voice strategy (ElevenLabs, AWS Lex/SoundHound) - Hosting models (Azure/AWS/Customer) - Code to infrastructure tooling (Terraform, GitLab) - Observability & predictive AI components Stakeholder Communication • Translate complex architecture into clear, actionable designs. • Communicate with exec sponsors, delivery teams, engineering squads, and security/compliance stakeholders. • Present architecture roadmaps, risks, and design outcomes. Oferujemy: Private medical care. Group life insurance. Work from modern offices with parking or from home. Sport cards. Free e-learning platforms. Shared costs for professional training and certifications. Responsible business initiatives.