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Текст:
Hirify AI/Оригинал
TL;DR
AI Pre-Sales Solutions Architect (Artificial Intelligence): Designing and presenting enterprise AI architectures and technical-commercial proposals for clients in the Dutch and international markets with an accent on cloud platforms, GenAI, agentic applications, governance, scalability, and MLOps. Focus on translating complex AI architectures into business value, developing prototypes, shaping AI roadmaps, and positioning solutions across Microsoft, Google, AWS, Databricks, and Snowflake ecosystems.
Location: Hybrid role based in Amstelveen, Capelle aan den IJssel, or Eindhoven, Netherlands
Company
hirify.global, an ALTEN company, is a global consulting firm specializing in Data & AI, delivering analytics, data management, predictive analytics, and AI transformation services for enterprise clients.
What you will do
Partner with clients and account teams to identify AI priorities, business challenges, strategic goals, and use cases.
Design and present enterprise AI architectures covering platform selection, cloud infrastructure, GenAI and agentic application patterns.
Ensure solution designs address governance, scalability, MLOps, solution lifecycles, and integration with the broader data ecosystem.
Own the technical workstream of the AI sales cycle, developing prototypes and technical-commercial proposals focused on ROI, value proposition, and business impact.
Guide AI roadmaps and strategically position solutions across Microsoft, Google, AWS, Databricks, Snowflake, and other data platforms.
Track emerging AI trends, including LLMs, neural networks, and agentic AI, and contribute reusable assets through SDG iLabs.
Requirements
Minimum 5 years of experience in AI, Data Science, Cloud Architecture, or technical consulting, including a hands-on delivery foundation and technical depth.
Professional fluency in Dutch and English is mandatory, including presenting and negotiating with local and international stakeholders.
Solid knowledge of enterprise AI solution design, AI platform selection, MLOps methodologies, solution lifecycles, and modern Generative AI and agentic application patterns.
Familiarity or hands-on exposure to Azure, Databricks, and Snowflake AI platforms.
Degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field; equivalent practical experience is considered.
Nice to have
Experience in technical pre-sales, solution architecture, or client-facing advisory roles.
Senior delivery or engineering background combined with a strong commercial mindset and sharp communication skills.
Knowledge of AWS SageMaker, GCP Vertex AI, TensorFlow, PyTorch, Hugging Face, or OpenAI tools.
Culture & Benefits
Hybrid working possibilities.
Company lease car with fuel card and monthly net expense allowance.
8% holiday allowance and 27 vacation days, with the option to purchase up to 10 additional days.
Pension scheme with no personal contribution.
Training, knowledge groups, events, consultancy skill development, and a collaborative knowledge-sharing culture.
Projects across industry, defense, mobility, telecom, and finance, serving large corporates and innovative SMEs.
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