Principal AI Technology & Innovation Specialist

• Lead the evaluation and strategic assessment of emerging AI technologies, platforms, and vendor solutions, advising on technical and ethical feasibility
• Design and guide the development of AI capabilities and innovation pilots, translating business goals into AI-enabled solutions
• Define architectural blueprints for integrating AI technologies into IT systems and product platforms, ensuring security, scalability, and alignment with enterprise standards
• Develop frameworks for responsible AI adoption including model evaluation, explainability, privacy, compliance (e.g., EU AI Act), and ethical use
• Partner with product and platform teams to align AI innovations with enterprise technology strategy and business outcomes
• Drive initiatives for AI prototyping, proof-of-concepts (PoCs), and production readiness assessments
• Monitor vendor roadmaps and contribute to the strategy for selecting and onboarding external AI capabilities
• Act as a center of excellence for AI within the IT organization, driving awareness, knowledge sharing, and standardization
• Collaborate with enterprise architects and platform leads to integrate AI tools into data infrastructure, software architecture, and cloud environments
• Perform technical due diligence on third-party AI services and models, ensuring fit-for-purpose and cost-effective solutions
• Continuously improve internal innovation processes and methodologies to increase the speed and quality of AI-driven transformation

• Bachelor’s degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related field
• Advanced degrees (MSc/PhD) in AI/ML fields preferred
• TOGAF, COBIT, or related enterprise architecture certifications are beneficial
• Certifications in machine learning or cloud-based AI platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous
• Extensive experience in leading enterprise AI innovation and architecture initiatives
• Proven track record of evaluating, piloting, and operationalizing AI solutions in enterprise environments
• Experience working across multiple industries and large-scale IT organizations
• Hands-on experience in AI/ML development, integration, and lifecycle management
• Familiarity with regulations governing AI use, such as the EU AI Act, and experience in operationalizing compliance measures
• Deep knowledge of modern AI paradigms including generative AI (e.g., LLMs), machine learning infrastructure, AI model lifecycle, and MLOps
• Strong understanding of AI model risks and evaluation techniques, with experience applying responsible AI principles in enterprise environments
• Excellent ability to assess multi-vendor and open-source AI offerings for enterprise adoption
• Advanced knowledge of reference AI architectures, integration models, and cloud-based AI toolchains
• Ability to translate business needs into technical AI strategies, architectures, and implementation roadmaps
• Excellent communication and stakeholder management skills across technical, executive, and vendor audiences
• Strategic thinker with the ability to rapidly assess the value and risks of new AI technologies and innovation trends

• TOGAF, COBIT, or related enterprise architecture certifications are beneficial
• Certifications in machine learning or cloud-based AI platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous

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