[Hiring] AI Architect @HBK - Hottinger Brüel & Kjær

Role Description

Join HBK’s Chief Digital Officer organisation as our AI Architect, reporting directly to the Director of Digital Futures. You will define and deliver our enterprise AI strategy across our data ecosystems and platforms including SAP, Salesforce, Microsoft 365 Co‑Pilot and internal team systems. Working with global business teams, you will identify high‑value AI use cases, architect intelligent agents, and guide teams through adoption and scaling.

As we digitally transform HBK, you will help define our world-leading AI capabilities in how we serve our customers and colleagues. Drawing on your extensive industry experience, you will craft strategies to transform our architecture, aligning it with and enabling our business objectives. You will provide unique, industry-grounded technical thought leadership to our digital, IT and application teams globally.

This is a unique opportunity to influence the future of HBK's digital landscape, fostering collaboration across international teams and setting industry standards. Your contributions will be instrumental in shaping our business to meet the evolving needs of our customers worldwide.

Qualifications

• Autonomy: Operates under broad direction and manages complex AI solution delivery to time, cost and quality targets.
• Influence & Leadership: Influences stakeholders, builds expert networks, and communicates complex AI concepts to non‑technical audiences.
• Complexity Management: Works across diverse enterprise systems and resolves technical and organisational barriers to AI adoption.
• Technical Expertise: Knowledge of Azure AI/OpenAI services, MLOps tooling, data governance, API integrations, cloud infrastructure and secure AI engineering practices including agentic/spec-driven development and orchestration.

Requirements

• Machine learning and deep learning concepts.
• MLOps, model deployment, monitoring, and lifecycle management.
• Data engineering and pipeline architecture (ETL/ELT, distributed systems).
• AI Systems & Platform Knowledge.
• AI model integration with business applications.
• Multi‑agent architectures and orchestration frameworks.
• Generative AI model usage and constraints.
• Knowledge of AI platforms (Azure AI, AWS, Google Cloud, etc.).
• Enterprise Architecture & Systems Design Skills across data, application, platform, and integration layers.
• Scalable and secure architectures.
• AI‑enhanced enterprise architecture patterns.
• Digital twins for testing architecture scenarios.
• Knowledge graphs for grounding AI outputs.
• AI‑assisted capability mapping.
• Responsible AI, Governance & Security competence in:
• Responsible AI practices & compliance.
• Data governance, access control, and lineage.
• Guardrails for model safety and reliability.
• Vulnerability detection (e.g., prompt manipulation, model security).

Experience

• Designing large‑scale distributed systems and integrating AI into enterprise workflows.
• Designing and deploying AI/ML systems and integrating AI with enterprise platforms such as SAP, Salesforce, and Microsoft 365.
• Modernizing legacy platforms using AI‑first strategies.
• Cross‑domain architecture experience (EA frameworks, cloud architecture, microservices, APIs) an advantage.

Education

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Software Engineering or equivalent experience.

Benefits

• Competitive compensation and recognition for impactful contributions.
• Work From Anywhere policy supporting work‑life balance.
• Comprehensive health insurance and generous vacation benefits.
• A culture of innovation, continuous learning and global collaboration.
• Opportunities to work with international teams and access to learning resources for career advancement.