AI Architect
HBK - Hottinger Brüel & Kjær
full-time
Posted on:
Location Type: Remote
Location: Portugal
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About the role
- Join HBK’s Chief Digital Officer organisation as our AI Architect, reporting directly to the Director of Digital Futures.
- 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, identify high‑value AI use cases, architect intelligent agents, and guide teams through adoption and scaling.
- Help define our world-leading AI capabilities in how we serve our customers and colleagues.
- Craft strategies to transform our architecture, aligning it with and enabling our business objectives.
- Provide unique, industry-grounded technical thought leadership to our digital, IT and application teams globally.
- Develop and implement enterprise-wide AI architectures for products and solutions, embedding automation, data governance and secure by design thinking within the organization.
- Lead the creation and review of AI system capability strategies and features that meet the strategic requirements of the business, ensuring buy-in from all key stakeholders.
- Capture and prioritize market and environmental trends in AI impacting business strategies and objectives.
- Identify business benefits of alternative strategies and develop compelling business cases for approval, funding, and prioritization of high-level AI initiatives.
Requirements
- 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.
- 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.
- Knowledge: 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).
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI architectureAI strategyAI/ML systemsdata governancecloud architecturemicroservicesAPI integrationsMLOpsmachine learningdeep learning
Soft Skills
leadershipcommunicationstrategic thinkingcollaborationstakeholder managementthought leadershipproblem-solvingadaptabilityinnovationbusiness acumen