Solution Architect – AI
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Swicon Minds is a curated community of 450+ senior top talents working on complex enterprise challenges, while operating within a stable, structured, and supportive ecosystem.
Summary
Budapest vagy Székesfehérvár, HUN
Hybrid
Senior
Introduction
Partnerünk egy nemzetközi ipari vállalat, amely kiemelt szerepet tölt be a digitális transzformáció és a mesterséges intelligencia alapú megoldások fejlesztésében. AI Competence Center csapatába keresünk tapasztalt AI Solution Architect kollégát, aki meghatározó szerepet vállal vállalati AI megoldások tervezésében és bevezetésében domain architekturális szinten.
Description
- Experience: 7+ years in IT/Software Engineering, including 5+ years in Solution Architecture or technical leadership, with a track record of delivering enterprise-grade AI, cloud, or automation solutions.
- Education: Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or a related field (or equivalent practical experience).
- AI & Data Tech Stack:
- Deep practical knowledge of GenAI & Agentic Architecture (RAG, vector databases, multi-agent orchestration, tool calling, LLM evaluation, and safety guardrails).
- Core data engineering proficiency (data modeling, pipelines, relational/NoSQL).
- Python programming skills; familiarity with cloud-native stacks (Azure preferred𠅊zure OpenAI, AI Search).
- Pluses: Computer Vision (OCR, object detection) and frontend basics (React/Angular).
- Architecture & Delivery: Strong foundation in backend systems, secure API/modular design, distributed integration patterns, Agile delivery, and DevOps/MLOps/LLMOps pipelines (CI/CD, versioning, monitoring).
- Documentation & Safety: Experience creating clear C4 diagrams, technical specs, and runbooks while enforcing responsible AI, privacy, and security-by-design.
Mindset & Communication:
- Fluent in English with exceptional technical and non-technical stakeholder management skills.
- Analytical, pragmatic problem-solver who turns ambiguity into concrete MVP roadmaps.
- An ownership mindset with the ability to mentor, guide, and constructively challenge development teams.
We are looking for an AI Solution Architect who can design end-to-end AI and Generative AI solutions and guide them from business discovery to production readiness.
The role requires strong enterprise solution architecture, modern software engineering, and practical understanding of Generative AI, Machine Learning, agentic AI patterns, and AI-enabled business applications. The AI Solution Architect will work with business stakeholders, product owners, domain experts, engineers, data specialists, cloud, security, and operations teams to translate business needs into scalable, secure, maintainable, and measurable AI solutions.
The ideal candidate understands both high-level architecture and practical implementation aspects, including APIs, integrations, UI flows, data pipelines, RAG, vector search, tool/function calling, agentic workflows, evaluation, observability, and production operations.
The role also requires awareness of emerging AI trends, including agentic AI, agent harnesses, multi-agent patterns, LLM evaluation, AI-assisted software development, and coding agents such as Codex and Claude Code.Computer Vision experience is a strong plus.
- iscovery & Shaping: Lead stakeholder workshops, translate business needs into MVP scopes, and map out scalable implementation roadmaps.
- End-to-End Architecture: Design and document (C4 diagrams, API contracts) robust cloud architectures covering application, data, and LLM layers.
- Advanced AI Design: Build cutting-edge GenAI and Agentic systems using RAG, embeddings, multi-agent orchestration, and context/memory management.
- Technical Leadership: Guide cross-functional delivery teams (DevOps, MLOps, Data), unblock technical issues, and champion clean code and Git-based workflows.
- Security & LLMOps: Implement security-by-design, safety evaluation harnesses (hallucination checks, prompt injection defense), and automated testing.
We are looking for an AI Solution Architect who can design end-to-end AI and Generative AI solutions and guide them from business discovery to production readiness.
The role requires strong enterprise solution architecture, modern software engineering, and practical understanding of Generative AI, Machine Learning, agentic AI patterns, and AI-enabled business applications. The AI Solution Architect will work with business stakeholders, product owners, domain experts, engineers, data specialists, cloud, security, and operations teams to translate business needs into scalable, secure, maintainable, and measurable AI solutions.
The ideal candidate understands both high-level architecture and practical implementation aspects, including APIs, integrations, UI flows, data pipelines, RAG, vector search, tool/function calling, agentic workflows, evaluation, observability, and production operations.
The role also requires awareness of emerging AI trends, including agentic AI, agent harnesses, multi-agent patterns, LLM evaluation, AI-assisted software development, and coding agents such as Codex and Claude Code.Computer Vision experience is a strong plus.
- iscovery & Shaping: Lead stakeholder workshops, translate business needs into MVP scopes, and map out scalable implementation roadmaps.
- End-to-End Architecture: Design and document (C4 diagrams, API contracts) robust cloud architectures covering application, data, and LLM layers.
- Advanced AI Design: Build cutting-edge GenAI and Agentic systems using RAG, embeddings, multi-agent orchestration, and context/memory management.
- Technical Leadership: Guide cross-functional delivery teams (DevOps, MLOps, Data), unblock technical issues, and champion clean code and Git-based workflows.
- Security & LLMOps: Implement security-by-design, safety evaluation harnesses (hallucination checks, prompt injection defense), and automated testing.
- Cloud & Integration: Hands-on experience with Azure-native AI services, API management, enterprise integration platforms, and identity/secure access patterns.
- Advanced AI: Familiarity with Computer Vision, agent/orchestration frameworks, TOGA, LLM observability, and evaluation tools.
- Governance & Standards: Experience setting up reusable AI architecture blueprints/standards, data privacy protocols, responsible AI, and AI-specific threat modeling.
- Working at the world’s only fully integrated aluminum and leading renewable energy company
- Diverse, global teams
- Flexible work environment/home office (hybrid)
- We provide you the freedom to be creative and to learn from experts
- Possibility to grow with the company
- Attractive benefit package
Tasks
- Generatív AI és LLM alapú vállalati megoldások architektúrájának megtervezése és bevezetése
- AI alkalmazások, intelligens agentek és AI platformok kialakításának szakmai támogatása
- Üzleti igények technikai megoldásokká alakítása, ügyfél- és stakeholder egyeztetések vezetése
- AI rendszerek integrációjának megtervezése vállalati alkalmazásokkal és felhőszolgáltatásokkal
- AI architektúrák, biztonsági és governance irányelvek kialakítása
- Együttműködés fejlesztőkkel, Data Scientist csapatokkal és üzleti területekkel
- Proof of Concept projektek vezetése, új AI technológiák és megoldások értékelése
- Technikai mentorálás és szakmai iránymutatás a fejlesztői csapat számára
Expectations
- Felsőfokú végzettség informatikai, műszaki, matematikai vagy kapcsolódó területen
- 5+ éves tapasztalat (AI) Solution Architect, (AI) Software Engineer, Machine Learning Engineer vagy hasonló releváns pozícióban
- Gyakorlati tapasztalat generatív AI, LLM-ek és AI agentek tervezésében és bevezetésében
- Azure AI Services, Azure OpenAI vagy más cloud AI platformok ismerete
- Erős Python programozási tapasztalat
- Tapasztalat API-integrációk, vállalati rendszerek és felhőalapú architektúrák tervezésében
- AI governance, biztonsági és adatkezelési alapelvek ismerete
- Magabiztos angol nyelvtudás
Advantages
- MLOps és AI platformok üzemeltetésében szerzett tapasztalat
- LangChain, Semantic Kernel vagy hasonló AI frameworkök ismerete
- Azure vagy egyéb cloud tanúsítványok
- Prompt engineering és Retrieval-Augmented Generation (RAG) megoldások ismerete
- Tapasztalat nemzetközi projektekben vagy nagyvállalati környezetben
Employer's offer
- Lehetőség modern AI és generatív AI megoldások tervezésére és bevezetésére
- Nemzetközi projektek és innovatív technológiai környezet
- Meghatározó szakmai szerep egy AI Competence Center működésében
- Folyamatos szakmai fejlődés, képzések és tanúsítványok támogatása
- Hibrid munkavégzés és rugalmas munkakörnyezet
- Stabil, nemzetközi vállalati háttér és hosszútávú karrierlehetőség
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Solution Architect – AI
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Swicon Stories
Real people. Real challenges. Real impact.
„The whole hiring process was a really positive experience for me. I was given the opportunity to move forward professionally and to test myself in a new, more senior role. I was trusted from the start, and I had all the support I needed to take the next step in my career with confidence. They connected me with the right technical contact, and every question I had was answered quickly and clearly, so I never felt left on my own. Communication was smooth, each step built on the one before, and the whole process moved surprisingly fast and without a hitch.”
K. R. – Solution Architect
“Looking back over more than 15 years, Swicon gets top marks from me: it has built itself into a fast-growing multinational, and all the while it has backed its people professionally across the board — it even supported my PMP certification with a proper training course.”
B. T. – Sr. Projectmanager
“I’ve been working with SWICON for almost a year and a half now, and it’s been a positive experience from start to finish. Both the hiring process and the admin side of things ran smoothly, and whenever I had a question, help came quickly. I particularly appreciate how kind and helpful my colleagues are, and the fact that the company genuinely invests in building a community — there are regular programmes and events.
I’ve grown a lot professionally in my time here, too. My tasks and my responsibilities have kept widening, I’ve been able to take on more complex challenges, and I’ve also had the chance to support and mentor others. On the IT side I’ve been given opportunities that made a real difference to where I am professionally, so on the whole I see SWICON as a supportive place that gives you genuine room to grow.”
M. L. – Software developer
Powering mission – critical operations across Europe
200+
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