Enterprise Application Architect
Hybrid
Brussels, Belgium
Full Time
04-02-2025
Job Specifications
Enterprise Architect AI
We are seeking an experienced Enterprise Architect AI to design and implement scalable AI solutions across both cloud and on-premises environments. In this role, you will play a key part in integrating AI models into our client's organization's technology stack, promoting scalability, reusability, and innovation. You’ll be working closely with cross-functional teams to deliver data-driven solutions that align with business objectives.
Key Responsibilities:
• Design and implement data architectures for AI model deployment ensuring scalability, security, and performance across cloud and on-premises environments.
• Lead AI solution integration with existing data infrastructures, ensuring seamless compatibility between legacy systems and modern cloud-native platforms.
• Guide the transition from on-premises legacy architectures to cloud-native data lakes, warehouses, and advanced analytics platforms.
• Collaborate with data scientists, engineers, and business stakeholders to align AI models and data platforms with business goals.
• Foster a product engineering mindset within the data architecture teams for building reusable, scalable data solutions.
• Implement best practices for data governance, security, and compliance, ensuring adherence to regulatory standards.
• Oversee DevOps practices in data pipelines and AI solution deployment to ensure automation and continuous improvement.
• Communicate technical architectures and AI strategies to senior leadership to ensure alignment with enterprise and business objectives.
Skills & Experience Required:
• Expertise in AI/ML frameworks & technologies (e.g., conversational AI, genAI, LLM, RAG, etc.), cloud services, data processing platforms, relational databases, document stores, key-value stores, streaming systems, Lakehouse architecture, and ETL pipelines.
• Strong experience with cloud-based data architectures and AI integration.
• In-depth knowledge of AI model integration into hybrid environments.
• Expertise in AI governance, security, and compliance across both cloud and on-premises environments.
Minimum Qualifications:
• Bachelor's degree in computer science, engineering, information systems, or equivalent.
• Ten years of work experience in IT or engineering environments.
Additional Skills:
• Ability to apply computer science concepts to business problems.
• Excellent communication skills to effectively engage with senior leadership and cross-functional teams.
Interested? Apply now to join a dynamic, innovative team and play a crucial role in shaping the future of AI technology.
About the Company
Nous sommes une société de conseil reconnue pour son expertise dans le recrutement IT. Nous fournissons également des candidats dans divers domaines tels que l'ingénierie, la finance, les sciences de la vie et les ressources humaines. Notre principal objectif est de répondre à vos besoins en vous présentant des talents — qu'il s'agisse de salariés, de freelances ou de consultants — et de vous accompagner dans la réussite de vos projets IT. Nous aimons aider nos clients à renforcer et à optimiser leurs activités. Know more
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