AI Solution Architect
Posted 2 days 9 hours ago by EY
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Your roleWe are seeking an experienced AI Solution Architect to lead the design and implementation of enterprise-level AI solutions. In this role, you'll bridge the gap between business needs and technical capabilities, architecting scalable AI systems that deliver measurable business value while guiding technical teams through complex AI implementations.
Responsibilities- Design end-to-end AI solution architectures that align with business objectives and technical requirements
- Evaluate business challenges and identify opportunities where AI can provide effective solutions
- Lead technical discussions with stakeholders to translate business problems into AI-driven solutions
- Define technical standards, best practices, and architectural patterns for AI projects
- Oversee the integration of AI solutions with existing enterprise systems and infrastructure
- Collaborate with data scientists, engineers, and business teams to ensure successful project delivery
- Conduct feasibility studies and proof-of-concepts for new AI initiatives
- Create technical documentation, architecture diagrams, and implementation roadmaps
- Provide technical leadership and mentorship to development teams
- Stay current with emerging AI technologies and assess their potential business applications
- Ensure AI solutions meet security, scalability, performance, and compliance requirements
Our Amsterdam office is located at the Zuidas. In our Cross Towers, we welcome up to 1,500 people every day. For a breathtaking view of the city, head to the 22nd floor. Collaboration takes on a new meaning in our Wavespace, a high-tech environment that connects clients and colleagues virtually across the globe.
Your skills and strengths- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
- 5+ years of experience in solution architecture, with at least 3 years focused on AI/ML projects
- Proven ability to identify, analyze, and solve complex business problems using AI technologies
- Strong track record of architecting and delivering AI solutions that address real-world challenges
- Deep understanding of AI/ML technologies, including traditional ML, deep learning, and generative AI
- Experience designing scalable, production-ready AI systems
- Strong knowledge of cloud architectures (AWS, Azure, or GCP) and AI/ML services
- Expertise in data architecture, data pipelines, and data governance
- Experience with MLOps, model deployment, and monitoring strategies
- Experience leading technical teams and managing stakeholder relationships
- Master's or PhD in Computer Science, AI/ML, Data Science, or related field
- Experience with enterprise AI platforms and tools
- Certifications in cloud platforms (AWS Solutions Architect, Azure AI Engineer, Google Cloud Architect)
- Experience with AI ethics, responsible AI, and regulatory compliance
- Background in multiple industries and diverse AI use cases
- Experience with agile methodologies and DevOps practices
- Knowledge of edge AI and IoT architectures
- Experience with conversational AI, computer vision, or NLP solutions
- Understanding of cost optimization for AI workloads
- AI/ML Technologies: Deep learning, NLP, computer vision, reinforcement learning, generative AI (LLMs, diffusion models)
- Cloud Platforms: AWS (SageMaker, Bedrock), Azure (AI Services, OpenAI), GCP (Vertex AI)
- Data Technologies: SQL/NoSQL databases, data warehouses, data lakes, streaming platforms
- MLOps Tools: MLflow, Kubeflow, DVC, model registries
- Architecture: Microservices, API design, event-driven architectures, serverless
- Programming: Python, and familiarity with other languages
- Containerization: Docker, Kubernetes
- Integration: REST APIs, message queues, ETL/ELT pipelines
- Strategic thinking and ability to align AI initiatives with business goals
- Problem-solving mindset with analytical approach to identifying AI opportunities
- Strong decision-making capabilities for technology selection and trade-offs
- Leadership and ability to influence across organizational levels
- Risk assessment and mitigation for AI implementations
- Change management and ability to drive AI adoption
- A competitive salary that reflects your role and responsibilities, depending on experience and qualifications
- Plus a solid pension plan, holiday allowance, and an annual bonus (based on performance and development)
- Contract for 32-40 hours
- Laptop and phone for work and personal use, plus monthly internet allowance
- 29 vacation days, with option to buy extra days
- Mobility budget with options for lease car or discounted public transport
- Hybrid working for a healthy work-life balance
- Opportunity to work up to 20 days per year from abroad
- Option to swap 3 national holidays for non-national ones
- Training and development opportunities across a broad range of trainings and courses
- OpenUp wellbeing platform access with psychologists and lifestyle experts within 36 hours
- Strong focus on teaming and internal networks with social activities
For this vacancy, upload a motivation letter along with your CV and examples of AI solutions you've architected. EY supports the use of AI tools like ChatGPT, as long as your own tone and unique personality remain visible.
Our first contact: After your application, our recruiter will call you within 5 days for a short introduction.
First interview: Complete an online assessment; discuss results during the interview with a colleague from the relevant department.
Second interview: Deeper dive into the role; may include a business case. A final interview may follow.
We're a match. You'll receive an offer and EY will perform a pre-employment screening. Welcome to EY!
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