Senior AI Architect (M/F)
O pozici
Pracovní nabídka
What you will do:
AI Solution Development:
- Design and build LLM-based AI applications for big accounts in banking, insurance, telco, energy and manufacturing sectors.
- Implement classical ML solutions (e.g., anomaly detection, signal analysis, fraud detection).
- Ensure solutions are modular, extensible, and production ready.
- Stay ahead of emerging trends and technologies in AI, continuously exploring and integrating the next big thing into practical, scalable solutions.
Architecture & Deployment:
- Design cloud-native architectures in Azure and AWS (GCP occasionally).
- Deploy and operate containerized applications using Kubernetes and cloud-native tooling.
- Ensure system reliability, performance, and security compliance.
- Collaborate with DevOps teams for automated deployment, monitoring, and scaling.
Technical leadership:
- Drive the technical implementation of AI projects across their full lifecycle (PoC, MVP, production-grade systems).
- Act as the technical counterpart to the Head of AI on architecture and design decisions.
- Establish and enforce engineering standards, including clean code and design best practices.
- Mentor junior engineers and guide them in building robust, maintainable systems.
Code Quality & Engineering Excellence:
- Write clean, structured, and object-oriented code following SOLID principles.
- Apply software engineering best practices: version control, peer reviews, code linting, testing, and CI/CD.
- Promote reusable components, clear abstractions, and maintainable architecture.
- Ensure strong test coverage (unit, integration, regression).
Quality & Security:
- Integrate data governance and security best practices into AI solutions.
- Support compliance efforts and secure handling of sensitive data.
- Contribute to architecture documentation and audits.
Collaboration:
- Work closely with product owners, project managers, and clients in agile environments.
- Translate business needs into technical architecture and implementation plans.
- Participate in technical pre-sales discussions when required.
Requirements:
Experience:
- 5+ years in AI / ML engineering with a focus on delivering production-grade solutions.
- Proven experience leading or technically driving AI projects.
- Strong understanding of AI concepts and applications (e.g., machine learning, NLP, computer vision, LLM), with the ability to translate them into business solutions.
- Experience working in agile teams (Scrum).
Technical skills:
- Excellent Python skills, including OOP, design patterns, and modular architecture.
- Proficiency with AI/ML frameworks like PyTorch, LangChain, LlamaIndex.
- Hands-on experience with vector databases, embeddings, and prompt engineering.
- Deployment experience in Azure or AWS (GCP is a plus).
- Strong experience with containerization and orchestration (Docker, Kubernetes)
- Strong understanding of MLOps principles and tooling.
- Experience integrating with enterprise systems (APIs, identity providers).
- Familiarity with security and compliance in AI systems.
Organizational skills:
- Experience leading small AI teams and mentoring junior engineers
- Ability to structure and technically lead projects from PoC to production.
- Experience working in agile teams (Scrum).
Soft skills:
- Proactive, autonomous, and structured.
- Innovative mindset with a strong drive to experiment, learn, and bring new ideas into practice.
- Excellent communication in Slovak and/or Czech with a good command of English (written and spoken).
- Comfortable working with both technical and business stakeholders.
Nice to Have
- Experience with regulated industry environments (banking, insurance, energy, healthcare).
- Knowledge of infrastructure as code.
What we do
- AI & Data Enabling. We deploy chatbots and LLM solutions, automate documents and workflows, and work with Computer Vision. Our focus is on solving concrete business problems with AI and achieving a high success rate in real use cases.
- Business Optimisation & Efficiency. We streamline processes, reduce delays, automate operational work, and set up more efficient ways of working.
- Product Design & Development. We design and build digital products, customer journeys, and scalable platforms that support long-term growth.
- Software Engineering. We offer flexible delivery models. From specialised roles to full teams, supporting both fast-growing companies and established enterprises.
Why join us
We have years of experience and strong references across startups, scale-ups, and large organisations. We work on assignments where AI makes real impact. For example, in the banking sector we validated an LLM solution with a high success rate in a real proof-of-concept.
At Ableneo you will work on projects that push the boundaries of AI and software engineering. You will solve complex problems, collaborate with decision-makers, and help build systems that have immediate business value.