We are looking for an experienced AI Governance Software Architect to join our AI Governance team and support the architecture, assessment and technical governance of enterprise AI and Generative AI technologies.
The ideal candidate combines strong software architecture expertise, hands-on programming capabilities and proven professional experience with AI/GenAI technologies in enterprise environments.
The role works closely with Corporate Architects, Platform Engineering, ITS and the GenAI Factory.
Key Responsibilities
- Define and assess architecture patterns and technical standards for AI and GenAI technologies.
- Evaluate AI platforms, frameworks, cloud services and emerging technologies.
- Translate governance, security and regulatory requirements into technical architecture requirements and controls.
- Perform hands-on technical validation, prototyping and code-level analysis when required.
- Contribute to reference architectures, technology assessments and technical recommendations.
- Collaborate with Corporate Architects, Platform Engineering, ITS and the GenAI Factory.

Required Skills
Essential Knowledge and Requirements
- 7+ years of experience in Software Engineering, Software Architecture, Solution Architecture or equivalent senior technical roles.
- Direct professional experience with AI and Generative AI technologies in enterprise projects or platforms.
- Strong hands-on programming skills in Python, Java, C#, JavaScript/TypeScript or equivalent.
- Strong knowledge of distributed systems, cloud-native architectures, APIs and enterprise integration patterns.
- Practical experience with public cloud platforms such as AWS and/or Azure.
- Good knowledge of LLMs, RAG, embeddings, vector databases, AI Agents and agentic architectures.
- Experience integrating foundation models and AI services through APIs and SDKs.
- Hands-on knowledge of MCP and agent/tool integration patterns.
- Experience with AI Governance platforms, AI registries or model/agent governa

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