AI Architect
Ascendix · Remote · Kraków
Job description
Ascendix Technologies is scaling its AI delivery capability and looking for a senior-level AI Architect who can lead real-world AI implementations across client delivery, solution architecture, and pre-sales. We are actively investing in AI engineering capabilities and building a long-term AI practice designed around practical, production-ready delivery.
If you thrive in high-ownership environments, move fast, and enjoy solving complex engineering problems with AI at the center, this role is for you.
What We're Looking For
AI Engineering & Delivery (Products and with AI)
- Building AI into products: Hands-on experience integrating LLMs into real applications; experience with RAG, AI agents, copilots, or AI workflow orchestration.
- Building products with AI: You already use AI in your development workflow (LLM-assisted coding, prompt engineering, AI-based testing / code review, automation) and can point to examples where this has accelerated delivery.
Architecture & Backend Engineering
- Strong backend engineering and architecture experience. We're not tied to a specific language or framework. What matters is that you can architect robust, scalable backend systems and that you understand why certain decisions matter.
- Proven experience shipping production systems end-to-end. Not just designed it, not just prototyped it. You've been responsible for something real that runs in production and that clients depend on.
- Infrastructure and scalability awareness.
Client-Facing & Communication
- Strong communication and client-facing skills, with the ability to present and explain complex solutions to both technical and non-technical stakeholders, including executives.
- Solid English proficiency suitable for executive-facing conversations.
Ways of Working
- Ability to operate with high ownership and minimal handholding.
- Works effectively within a delivery team, including engineers, consultants, and BAs, rather than as a solo contributor.
Nice to Have:
- Consulting or pre-sales experience (POC scoping, proposal shaping, estimation).
- Full-stack development background.
- Salesforce or CRM ecosystem exposure.
- Experience in real estate or financial services domains.
What You'll Do:
Architect & Deliver AI-First Solutions:
- Design and build production-grade AI-powered applications.
- Implement RAG pipelines, AI copilots, LLM integrations, and agentic workflows.
- Own architecture decisions across backend, infrastructure, scalability, and deployment.
- Lead technical delivery for client-facing AI initiatives.
Use AI to Accelerate Engineering: We expect AI to be part of your development workflow.
You should already be using:
- LLM-assisted coding
- AI-powered development tools
- Prompt engineering
- AI-based testing and code review
- Intelligent automation workflows
Support Pre-Sales & Client Conversations
- Join discovery and solutioning calls with prospects.
- Translate business problems into realistic technical solutions.
- Provide architecture direction and delivery estimates.
- Communicate clearly with both technical and non-technical stakeholders.
Help Shape the AI Practice
- Define reusable AI architecture patterns.
- Improve AI delivery standards and engineering workflows.
- Influence tooling, implementation approaches, and best practices.
- Work directly with senior architects and leadership/C-level.
- Mentor engineers and team leads on AI delivery practices.
- Lead and operate small delivery teams under compressed timelines.
Ascendix offers you:
Healthcare:
- 20 paid vacation
- 5 paid sickness
Career and professional growth:
- B2B and remote cooperation
- Career development and professional growth
- Technical performance reviews and 360 Evaluation
- Collaboration with a personal Direct Manager, Technical leads, and mentors
Learning and Development:
- Udemy and Pluralsight subscription
- Internal knowledge-sharing opportunities
Corporate spirit:
- Online and offline events & team-buildings
- Friendly and supportive atmosphere
- Open management
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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