Principal Data and AI Architect
Role details
Job location
Tech stack
Job description
EXO ARNVIND is collaborating with a pioneering enterprise technology leader in the Netherlands to identify their next Principal Data and AI Architect. Our client is shaping the future of intelligent business solutions, leveraging cutting-edge AI and data platforms to drive innovation for global organizations. This is a rare opportunity to join a high-impact team, where your expertise will directly influence the strategic direction of AI-driven transformation and enterprise-scale data architectures. If you thrive at the intersection of visionary leadership and hands-on technical execution, this role offers the perfect platform to elevate your career while delivering measurable value to industry-leading clients., As the Principal Data and AI Architect, you will serve as the technical linchpin for our client's most ambitious AI and data initiatives. You'll work closely with cross-functional teams-including pre-sales, engineering, and product development-to design scalable, future-proof architectures that integrate seamlessly with cloud platforms, external data sources, and intelligent agents. This role is ideal for a strategic thinker who enjoys bridging the gap between high-level vision and practical implementation, ensuring that AI solutions are not only innovative but also robust, governable, and aligned with business objectives. Your leadership will extend beyond architecture; you'll mentor internal teams, establish best practices, and play a key role in shaping the technical roadmap for AI adoption across the organization., * Provide expert guidance on AI-driven solutions for enterprise clients, ensuring alignment with business goals and technical feasibility.
- Design and document enterprise-grade data and AI architectures, with a focus on scalability, security, and integration.
- Develop prototypes, demos, and proof-of-value (POV) engagements to showcase the potential of AI and data platforms to clients and stakeholders.
- Lead the lifecycle and governance strategies for AI agents, including integration with external data sources and third-party systems.
- Collaborate with pre-sales teams to define technical solutions during the sales cycle, translating complex requirements into actionable architectures.
- Establish and disseminate technical best practices, standards, and documentation to elevate the capabilities of internal teams.
- Drive the adoption of cloud data platforms, ensuring seamless interoperability with existing systems and emerging technologies.
- Champion data governance, modeling, and integration strategies to support AI-driven decision-making at scale.
Requirements
We're looking for a seasoned architect with a deep technical background in AI, data platforms, and cloud technologies. You should have a proven track record of designing enterprise-scale solutions and a passion for mentoring teams to deliver excellence. Here's what we're seeking:
- A Bachelor's or Master's degree in Engineering, Computer Science, or a related field.
- Extensive experience in roles such as AI Architect, Data Architect, or similar senior technical positions.
- Hands-on expertise with cloud data platforms, data integration, and AI technologies, including machine learning, prompt engineering, and agentic AI systems.
- Proficiency in programming languages such as Python and JavaScript, along with a strong grasp of SQL and data modeling.
- Experience with APIs, data governance, and cloud-based architectures (e.g., AWS, Azure, or similar).
- A strategic mindset with the ability to translate business needs into technical solutions and vice versa.
- Strong leadership skills, with a demonstrated ability to guide teams, influence stakeholders, and drive technical excellence.
- Excellent communication skills, capable of articulating complex concepts to both technical and non-technical audiences.
- Experience with tools and platforms such as Salesforce Agentforce, Salesforce D360, or comparable enterprise solutions is a plus.
