Top Artificial Intelligence Jobs in Budapest

Lead AML search-quality modeling and experimentation, improving fuzzy name matching across sanctions, PEP, and adverse media data. Build evaluation datasets and metrics, deploy and monitor production models, manage drift and incidents, investigate customer matching issues, and balance accuracy with performance and cost. Collaborate cross-functionally with Product, Engineering, QA, DevOps, and Customer Success while mentoring teammates and advancing data science practices.

Leads a global HR operational risk team, overseeing incident management, root cause analysis, action-plan closure, control enhancements, risk reporting, training compliance, vendor and information-security risk activities. The role partners with HR stakeholders, risk officers, control functions, and subject-matter experts; manages escalations; and uses AI and automation to improve process efficiency, accuracy, and reporting.

Lead non-coding Databricks consulting engagements from executive discovery through deployment and adoption. Define business value, success metrics, solution specifications, delivery backlogs, and scope boundaries. Direct cross-functional teams, manage stakeholder alignment, coordinate rollouts and change management, measure ROI, and identify follow-on advisory opportunities. The role requires strong technology advisory experience, data and AI literacy, executive communication, and at least five years managing complex client-facing deployments.

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.

Lead the design, development, and deployment of scalable AI-powered customer support automation. Build Java microservices using Kafka, contribute to TypeScript and Python systems, develop intent detection and routing pipelines, integrate LLM and AI agent solutions through AWS Bedrock, optimize platform reliability and performance, collaborate on conversational experiences, and mentor engineers.

Support and evolve Genesys’s Talent and Learning technology ecosystem by connecting employee, skills, learning, career, and enablement data across platforms. Translate business needs into requirements, workflows, user stories, and technology enhancements; improve taxonomies, metadata, data quality, integrations, and employee experiences. Coordinate cross-functional pilots involving personalized learning, skills-gap identification, career recommendations, and responsible AI while supporting testing, documentation, governance, communications, and change enablement.

Develop positioning, messaging, sales enablement, competitive intelligence, customer evidence, campaigns, launches, and thought leadership for Neo4j GraphAware industry solutions. The initial focus is financial crime intelligence for financial institutions. The role researches markets and buyers, translates complex technology into customer value, supports enterprise sales, and collaborates across Product, Sales, Content, Demand Generation, and Regional Marketing.

Owns sales enablement across the full funnel by analyzing deals, coaching representatives and team leads, developing sales standards, improving CRM stage logic, and embedding AI workflows into daily sales activities. The role measures behavior adoption, conversion, deal outcomes, and process adherence while creating scorecards, skills maps, objection guides, scripts, and training assets. It is a hands-on individual contributor role without direct reports, requiring strong sales coaching, analytical, CRM, AI, and process-development skills.

Own the end-to-end complaints reporting and analytics lifecycle, including data analysis, KPI and dashboard development, quality assurance, executive reporting, and regulatory presentations. Analyze complex datasets to identify trends, risks, and root causes; improve data governance and reporting controls; and collaborate with global Legal, Compliance, Risk, Data, and Technology teams. Lead automation, AI, and advanced analytics enhancements while providing oversight and direction across locations.

Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.

Leads Cast AI’s global marketing strategy, organization, budget, and operating model. Owns positioning, demand generation, pipeline, customer acquisition, product adoption, marketing efficiency, and revenue contribution. Builds an accountable, AI-enabled marketing organization spanning product marketing, digital, content, field, partner, lifecycle, customer, and marketing operations. Partners closely with executives, Product, Sales, Customer Success, and Revenue Operations across global markets.

Enterprise Account Executive role focused on building new business across EMEA. Responsibilities include developing territory sales strategies, acquiring enterprise customers, exceeding new-logo quotas, managing complex consultative sales cycles, engaging C-level decision-makers, negotiating contracts, partnering with marketing and pre-sales, and developing partner go-to-market strategies. The role requires enterprise SaaS sales experience, technical platform selling expertise, and proficiency with Salesforce, Clari, and MEDDPICC.

Provides privacy and data protection legal advice across the EMEA region. Responsibilities include interpreting GDPR and related regulations, negotiating data processing and transfer agreements, conducting privacy and transfer impact assessments, advising on digital health and AI initiatives, supporting incident investigations, and developing global privacy governance resources. The role collaborates with Legal, IT, Security, HR, Clinical, R&D, and technology teams in a global healthcare environment.

Monitor and manage market risk across fixed income portfolios, analyze trading portfolios and risk metrics, investigate market movements, explain P&L and risk changes, and support stress testing and scenario analysis. Build dashboards and automation tools while partnering with finance, technology, quantitative, and risk teams to improve controls and reporting across global markets.

Own the vision, roadmap, commercialization, and executive strategy for Kaltura’s AI-powered learning and enablement platform. Lead 0-to-1 MVP delivery and post-MVP expansion across AI course generation, conversational tutoring, personalized learning, simulations, and enterprise foundations. Integrate acquired products and agentic AI capabilities while partnering with engineering and GTM teams on architecture, pricing, packaging, positioning, and enterprise sales. The role requires deep B2B SaaS product leadership, enterprise learning platform experience, production AI/ML delivery, and strong technical and commercial judgment.

Leads end-to-end managed services transition and transformation programs from contract commitment through stabilization and hypercare. Responsibilities include executive governance, operational readiness, go-live planning, service modernization, automation and AI adoption, risk management, stakeholder engagement, and business value realization. The role also coaches leaders, supports solutioning and sales engagements, manages contractual commitments, and ensures people, processes, technology, and operations are prepared for successful service delivery.

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 the strategy and execution of integrated B2B marketing campaigns for enterprise AI solutions and a self-service platform. Drive pipeline, product adoption, acquisition, and category awareness through ABM, content, events, paid media, lifecycle, social, partnerships, PR, and sales activation. Coordinate internal teams and agencies, optimize messaging and conversion paths, and measure performance across account engagement, pipeline, product adoption, and awareness.

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.

Lead product design for Synthesia’s AI-native Sessions experiences. Own major design bets from problem framing through launch, establish design vision, prototype conversational and agentic interaction models, and partner with Product and Engineering leaders. The role emphasizes interaction and visual craft, systems thinking, user trust, transparency, control, enterprise needs, and measurable improvements to AI-driven workflows.

Write high-impact copy for Kraken Pro across campaigns, landing pages, emails, in-app experiences, paid ads, and social media. Translate complex trading products into compelling messaging, maintain brand voice, support product launches, collaborate with Design, Product, Growth, Social, Legal, and Communications, and optimize copy through testing and performance analysis. The role requires strong writing range, crypto and trading culture fluency, speed, creativity, and attention to compliance.

Work closely with company founders to execute go-to-market strategies, improve operational processes, grow client and partner communities, and implement AI-driven solutions. The role involves managing go-to-market pipelines end to end, coordinating cross-functional initiatives, and adapting within a fast-paced startup environment.

Supports technical integration projects for digital dental technologies, including validating and integrating partner CAD data into a large component database. Uses AI tools from Anthropic and OpenAI to automate and optimize workflows while ensuring ISO 13485 regulatory and quality compliance. The role involves collaboration with manufacturers, technology partners, CAD specialists, and internal experts, with opportunities to contribute to digital libraries and the development of CAD software solutions.

Lead Dune’s product strategy for institutional market data and onchain finance customers. Own the product experience from data creation through delivery, prioritize customer problems, define quality and success measures, and guide engineering and data teams in delivering reliable datasets, feeds, and integrations. Partner with commercial teams on evaluations, pricing, and adoption; improve product operations; and lead a product team focused on customer outcomes.

Build and scale Canvas video, media, transcription, accessibility, and analytics services using TypeScript, React, and Ruby on Rails. Develop resilient AWS-based cloud services and integrate AI agentic workflows, Claude skills, autonomous development tools, and automated engineering pipelines. Collaborate with product and UX teams on intelligent educational features while maintaining testing, accessibility, CI/CD, and distributed application performance.