AI Solution Architect

We are looking for an experienced AI Solution Architect to design and scale enterprise-grade AI solutions within high-velocity, AI-native delivery pods. In this role, you will serve as a pivotal technical leader, bridging business strategy, product vision, and technical execution. You will establish architecture blueprints, select modern tech stacks, and guide cross-functional teams to build resilient, production-ready AI systems.
The remote work option is available to candidates residing and working within Slovakia.
Responsibilities
End-to-End Solution Architecture: Design scalable, secure, and resilient architectures for enterprise AI systems, covering data pipelines, model integration, deployment, and monitoring
Modern AI System Design: Architect advanced AI patterns, including RAG, agentic workflows, and hybrid AI architectures using vector databases and graph frameworks
Strategic Product & Tech Alignment: Translate complex business goals and product roadmaps into technical specifications, architecture blueprints, and clear delivery backlogs
Technical Leadership & Mentorship: Guide engineering teams on implementation best practices, design patterns, coding standards, and system maintainability
Technology Evaluation & Strategy: Lead technical discovery, vendor evaluations, framework selections, and trade-off analyses (e.g., build vs. buy, open-source vs. proprietary APIs)
Cross-Functional Collaboration: Partner closely with Product Leads, Engineers, Software Architects, and Business Stakeholders to ensure seamless delivery and measurable ROI
Requirements
Proven Track Record: 3+ years of experience as a Solution/System Architect, Principal Engineer, or Tech Lead, with demonstrated experience delivering enterprise-scale AI solutions into production
Modern AI Engineering: Deep hands-on and architectural experience with modern GenAI patterns (RAG, Multi-Agent systems, function calling, tool use) and orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, Semantic Kernel)
Data & Search Infrastructure: Expertise in vector databases and enterprise search/retrieval strategy
Cloud & LLMOps: Strong background in cloud platforms (AWS, Azure, or GCP) and operationalizing models using
Familiarity with LLMOps/MLOps practices
Software Engineering Core: Solid background in modern backend systems engineering, microservices, API design, and distributed systems
Stakeholder Bridge: Exceptional communication skills with a proven ability to translate deep technical concepts into plain language for executive stakeholders and product leaders
Pragmatic Problem Solver: Comfortable navigating rapid tech evolutions, making trade-off decisions under uncertainty, and advocating for production quality
Excellent command of written and spoken English (B2+ level)
We offer
Opportunity to work in a fast-paced, agile, software engineering culture
Benefit program (5 weeks of vacation, 5 paid sick days, meal vouchers, cafeteria and recreation bonuses, reimbursement of glasses, contribution to pension fund)
Referral bonuses for recommended candidates
English language courses
Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more
Certain benefits and perks may be subject to eligibility requirements and may be available only after you have passed your probationary period.

Work arrangement
Yes