Top Artificial Intelligence Jobs in Hungary

As a Senior Software Engineer, you'll lead design and development of scalable components for the Wise Assistant, innovate with AI, and mentor engineers.

Lead storytelling and communications for Pfizer's AI-native engineering transformation: create strategic narratives, run high-impact live events, produce flagship content, build a communications operating model, manage budget and agency relationships, and lead and develop a storytelling team to drive builder engagement and executive confidence.

Lead international commercial build for data, engineering and AI: own data foundation, shared engineering pool, solution architecture, AgentOps, AI evaluation, model routing and CIO platform integration to deliver production-grade, governed AI and data products.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Create and edit video content, motion graphics, and animations for marketing and communications across digital and offline channels. Develop storyboards, visual concepts, and assets using Adobe Premiere Pro and After Effects and AI tools. Collaborate with creative leadership and global stakeholders to produce brand-focused short-form and campaign media.

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.

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.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Advise EMEA business units on compliance matters (ethics, antitrust, anti-corruption, data privacy, AML, AI governance). Assess and mitigate compliance risks, deliver training, maintain reporting and documentation, support policy and program development, and collaborate with global and regional stakeholders.

Lead and deliver petrophysics, seismic petrophysics and rock physics consulting projects and training. Develop best-practice workflows, support sales with technical proposals, publish and present technical work, and build customer relationships to grow consulting services and software adoption.

Lead a senior engineering team to build production LLM systems at Wise, shaping the AI technical vision and collaborating across functions.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

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

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.

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

Lead design, development, and implementation of digital and AI solutions for Controllers. Collaborate with Finance and Technology, drive cross-functional initiatives, provide SME advisory, ensure scalable adoption, and promote digital upskilling with risk-and-controls focus.

Design, build, test and deploy AI-powered agentic workflows using a low-code/no-code platform. Translate customer processes into reliable LLM-driven automations, write and refine prompts, analyze outputs, customize workflows, and collaborate with engineers and stakeholders.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.

Trainee/Intern will assist the CICD and security automation team by developing AI-powered CI/CD optimizations, improving pipeline security, supporting deployment and testing, maintaining automated test frameworks, conducting data analysis, participating in code reviews, documenting findings, and researching DevSecOps and AI trends.

Lead and scale enterprise Automation and AI across GBS Shared Services. Define strategy, oversee global delivery of RPA, low-code and AI/ML solutions, ensure governance, drive ROI, partner with finance and operations workstreams, build team capabilities, and manage portfolio, budgets, and KPIs.

Lead and own Agent0: co-own roadmap with Product, hire and grow a senior AI engineering team, drive delivery of production-grade agentic AI, set evaluation and monitoring standards, prototype innovations, and provide thought leadership on AI production excellence.

Design and implement execution primitives for AI/agent workflows in Kestra's Java core, build and maintain plugins to connect LLM providers and agent frameworks, convert agent use cases into reusable blueprints with product, and ensure AI executions are observable, debuggable, correct, and reliable.

Build end-to-end AI features and prototypes across backend and frontend, prototype AI agent use cases, create UI/blueprints/examples to make AI workflows usable, and ship features quickly in collaboration with product and backend teams.

Own AI workflows product: discover and validate AI use cases with customers, define roadmap and specs, create reusable blueprints with engineering, and prioritize what not to build.