AI Solution Architect

Job offer

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.