AI Solution Architect

1 week ago

ClujNapoca, Cluj, Romania RebelDot Full time 120,000 - 180,000 per year

Role Summary

We're looking for a practical, implementation-focused
AI
Solution Architect
to join us during a pivotal growth phase and play a key role in shaping our AI practice alongside the Chief AI Officer. This is a leadership role with strong delivery and innovation accountability, focused on scaling AI capabilities in a way that's practical, agile, and closely aligned with real business impact.

Key Responsibilities

  • Partner closely with the Chief AI Officer to drive the AI vision and roadmap across projects and prototypes.
  • Lead and contribute to the design, development, and deployment of AI/ML solutions with strong software engineering foundations.
  • Mentor and guide AI/ML teams, fostering technical excellence and hands-on problem-solving.
  • Co-own technical strategy, ensuring rapid prototyping aligns with commercial opportunities and client needs.
  • Collaborate with sales and delivery teams to bring technical credibility to client conversations, shaping solutions with speed and clarity.

What We're Looking For:

Technical & Product Expertise

  • Strong background in Machine Learning and Artificial Intelligence, with a deep understanding of modern ML practices.
  • Deep expertise in designing and implementing end-to-end AI architectures, covering data ingestion, feature engineering, model deployment, and monitoring.
  • Proficiency with modern AI/ML ecosystems (e.g., LangChain, LlamaIndex, vector databases, orchestration tools, cloud AI platforms) and ability to architect robust, scalable solutions.
  • Solid software engineering foundation: experience building, testing, and deploying production-grade ML systems.
  • Track record of building and scaling AI teams or projects
  • Passion for clean code, scalability, and practical innovation over academic perfection.

Business Acumen

  • Previous experience in startups or founding roles is a strong advantage.
  • Understanding of product-market fit, iterative delivery, and client-centric thinking.
  • Experience in or exposure to enterprise environments is a bonus.

Sales & Client Engagement

  • Ability to translate technical solutions into business value and communicate fluently with clients and non-technical stakeholders

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