Top Artificial Intelligence Jobs in Hungary

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

Own new and existing automation machine solutions across Europe. Responsibilities include feasibility studies, solution specification, development project management, lifecycle ownership, documentation, manufacturing supervision, installation, integration, maintenance, troubleshooting, and customer support. The role requires field deployment experience, analytical problem-solving, agile execution, strong communication, and up to 80% travel in Northern Europe.

Own enterprise customer relationships from adoption and delivery oversight through expansion and renewal. Develop success plans, lead business reviews, track transformation roadmaps, drive organizational enablement, oversee support and SLAs, monitor account health, identify expansion opportunities, and relay customer insights to product and go-to-market teams. Partner with technical and executive stakeholders to translate strategic priorities into measurable outcomes.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Design and improve mobile health coaching experiences focused on behavior change, AI-generated coaching, gamification, and user engagement. Collaborate cross-functionally to develop innovative UI/UX solutions, using user psychology, UX research, data analytics, and rapid experimentation to inform decisions. Generate and present original design hypotheses, validate solutions, and improve customer journeys, motivation, habits, and long-term loyalty.

Leads global commercial customer data governance, Customer 360 strategy, segmentation, data quality, reporting, and insight initiatives. Owns customer definitions and hierarchies across SAP and Salesforce, establishes governance and KPI standards, and aligns reporting and analytics investments with business value. Partners cross-functionally to improve data quality, reporting adoption, forecast accuracy, and AI readiness while driving change management and value realization across the commercial organization.

Lead transformation programs for documentation platforms, systems, and workflows. Manage roadmaps, milestones, dependencies, risks, requirements, and cross-functional workstreams across content, engineering, UX, and IT. Support Agile delivery, stakeholder alignment, vendor collaboration, governance, adoption of new tools, and continuous improvement. Drive automation and AI-enabled documentation solutions using data-informed performance monitoring and feedback loops.

Source proprietary company data and domain expertise for frontier AI labs, manage outreach and enterprise relationships, negotiate data-sourcing agreements, and coordinate with internal data and product teams to deliver structured, training-ready datasets. Build and prioritize a pipeline of prospective data sources and enterprise partners.

Build and operate enterprise AI platform services, APIs, SDKs, agent runtimes, retrieval systems, evaluation frameworks, observability, guardrails, and governance controls. Lead architecture for scalable, secure, reliable cloud-native services; write production Python code; establish testing, CI/CD, and operational practices; and drive complex technical initiatives. Mentor engineers, shape platform roadmaps, and potentially assume broader people leadership as the team grows.

Oversee global pharmacovigilance and medical device safety reporting operations, including ICSR processing, data quality, compliance, vendor coordination, inspection readiness, metrics, and regulatory reporting. Support AI-enabled safety activities, continuous process improvement, governance, issue escalation, and cross-functional projects while ensuring adherence to global pharmacovigilance requirements.

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

Develop and implement CoreMedia-based CMS solutions, integrate Deutsche Telekom services, and contribute to complex software architecture and delivery. Responsibilities include code reviews, performance optimization, troubleshooting, documentation, and knowledge transfer. The role requires Java and Spring expertise, AWS integration experience, REST and SOAP knowledge, familiarity with Git, Jenkins, Docker, relational and NoSQL databases, Node.js, DevOps, and CI/CD practices. Strong German and English communication skills are essential.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Owns commercial success, revenue, and strategic relationships for embedded HR technology partners. Responsibilities include managing a $10M+ annual bookings target, developing partner sales motions, enabling partner sellers, driving pipeline and ARR growth, resolving commercial issues, leading executive business reviews, expanding partnerships, coordinating cross-functional teams, and managing partner account managers and embedded sales leads.

The role focuses on creating and implementing Data & AI strategies, advising executives, and managing projects to drive AI adoption and business growth.

Leads digital transformation across procurement by implementing and optimizing SAP, Coupa, ERP, e-sourcing, and supplier management technologies. Oversees data governance, integration, process improvement, category and spend analytics, supplier performance monitoring, and cross-functional project delivery. Evaluates emerging capabilities such as AI and RPA, manages stakeholder relationships, mentors team members, and drives procurement technology innovation and operational efficiency.

Build Solidgate’s new ML/AI function, developing production machine learning models, recommendation systems, and real-time transaction-routing decision systems. Own experimentation from ideation through A/B testing and deployment, engineer features from high-cardinality transactional data, integrate emerging AI technologies, and collaborate with Product, Engineering, and Data Platform teams on training and analytics pipelines.

Lead management and optimization of Crayon and Clozd platforms, integrate them with CRM and sales enablement systems, drive cross-functional adoption, execute win-loss programs, monitor platform metrics, and deliver actionable competitive and buyer insights to improve win rates and product roadmaps.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

The Senior Data Scientist will own AI projects, prototype LLM solutions, evaluate AI performance, and mentor junior data scientists.

Lead design, build, and deploy scalable microservices and AI-driven contact automation for the Wise Assistant. Own intent detection, contact processing, routing logic, LLM/RAG integrations (AWS Bedrock), third-party AI agent integrations, performance and reliability optimizations, and mentor engineers while collaborating with cross-functional teams to automate customer support issues.

Provide EMEA-wide data protection legal advice and support: develop group-wide data compliance standards, review RoPA and DPAs, advise on cross-border transfers, handle incidents and audits, deliver training, monitor laws, and support related projects and digitization.

Provide EMEA-wide legal advice on data protection and GDPR compliance, develop and apply group data compliance frameworks, review processing activities and agreements, manage incident response and audits, deliver training, monitor EMEA privacy laws, and support cross-border transfers and global projects.