AI Architect

Berge Group•Gothenburg, NE

28d•Onsite

About The Position

Our client is looking for an AI Architect (EU AI Platform Engineer / Architect) to own the EU-side architecture, deployment, and adaptation of an agentic AI platform. You ensure that shared platform components can be securely, compliantly, and reliably deployed within the EU cloud and enterprise environment. You act as the primary technical interface between EU application teams, EU IT infrastructure, and the broader platform engineering organisation. You define and maintain the EU reference architecture, manage EU deployment requirements, and keep alignment with the platform roadmap and architecture decisions. Examples of major tasks: Own the EU reference architecture for agent runtime, model gateway, connector/tooling framework, and SDK layer; adapt shared components for EU deployment and compliance. Define and enforce Architecture Decision Records (ADRs) where EU requirements diverge; represent EU needs in joint architecture reviews. Deploy and operate platform services on approved EU cloud infrastructure with Cloud/DevOps and EU IT; own technical aspects of the IT operating agreement (provisioning, IAM, network, incident escalation). Ensure compliance with EU data-residency, retention, and cross-border transfer requirements; integrate with EU enterprise systems (identity providers, internal APIs, document/data platforms). Define secure connector patterns for Big Data and Knowledge Database Services (vector search, enterprise search, knowledge graph); enable EU application teams with reusable patterns, SDKs, and architecture reviews. Expected outcomes within the first months include an approved EU platform reference architecture, core services deployed in EU cloud with baseline observability and security, and at least one EU application team building on reusable platform patterns.

Requirements

5+ years in software, cloud, or platform architecture.
2+ years hands-on experience with LLM/agent platforms, RAG, or production AI services.
Strong Python and/or TypeScript; solid API and distributed systems design experience.
Cloud-native engineering: Kubernetes, CI/CD, Infrastructure-as-Code, observability.
Working knowledge of IAM, networking, secrets management, and secure API design.
Practical understanding of LLM/agent concepts: inference, tool calling, embeddings/vector search, evaluation, guardrails.
Comfortable as a technical bridge across distributed, cross-cultural engineering teams.
Available for on-site work on the west coast of Sweden, longterm full-time (100%).

Nice To Haves

GDPR-aware architecture and EU data-residency experience
Familiarity with EU AI Act implications
Automotive, mobility, or manufacturing enterprise background
Tools such as LangChain/LangGraph, Semantic Kernel, Terraform, ArgoCD, OpenTelemetry, or equivalents.

Responsibilities

Own the EU reference architecture for agent runtime, model gateway, connector/tooling framework, and SDK layer; adapt shared components for EU deployment and compliance.
Define and enforce Architecture Decision Records (ADRs) where EU requirements diverge; represent EU needs in joint architecture reviews.
Deploy and operate platform services on approved EU cloud infrastructure with Cloud/DevOps and EU IT; own technical aspects of the IT operating agreement (provisioning, IAM, network, incident escalation).
Ensure compliance with EU data-residency, retention, and cross-border transfer requirements; integrate with EU enterprise systems (identity providers, internal APIs, document/data platforms).
Define secure connector patterns for Big Data and Knowledge Database Services (vector search, enterprise search, knowledge graph); enable EU application teams with reusable patterns, SDKs, and architecture reviews.