Top Artificial Intelligence Jobs in Budapest

Leads analytical methodology and evaluation for AI-based healthcare and pharmaceutical workflows. Owns model selection, cohort and HCP segmentation, agent decision logic, and evaluation frameworks. Partners with engineering, data architecture, and governance teams to productionize rigorous analytical methods, identify new data and techniques, communicate insights, and mentor data science and engineering colleagues.

Leads data science methodology and advanced analytics for AI-enabled Medical Affairs workflows. Develops and evaluates statistical, machine-learning, NLP, and AI models using healthcare and real-world data; defines validation, monitoring, and decision frameworks; partners with engineering, governance, and business teams to operationalize solutions. Provides technical leadership, mentorship, documentation standards, and strategic guidance while ensuring privacy, compliance, responsible AI use, and clear communication of analytical findings.

Senior Commercial Counsel will negotiate enterprise sales, partnership, vendor, services, data licensing, and marketing agreements. The role advises on privacy, intellectual property, data security, AI law, and cross-border data transfers across the UK/EU and APAC. Responsibilities include building scalable legal processes, supporting sales and business development, managing international regulatory issues, and translating evolving AI legal developments into practical guidance for a fast-growing company.

Manage export sales orders from compliance and documentation through delivery and billing. Responsibilities include export license verification, customs support, order blocking and modification, intercompany automation monitoring, stock allocation, backorder management, logistics coordination, and continuous process improvement. The role requires SAP and Excel expertise, international trade knowledge, order-to-cash experience, strong analytical and problem-solving skills, and fluent English plus German or Dutch.

Leads product strategy, roadmap, lifecycle ownership, adoption, and measurable outcomes for a greenfield enterprise AI platform. Defines platform boundaries, governance controls, evaluation, registration, and cost-tracking capabilities while translating evolving risk, privacy, security, and GxP requirements into usable product features. Partners with engineering, design, legal, compliance, risk, security, and global agent-building teams to prioritize investments, guide delivery, communicate direction, and drive platform adoption.

Leads multiple agile engineering teams building AI-first governance, risk, and compliance products. Responsibilities include owning technical roadmaps, driving scalable distributed systems on AWS, championing AI and automation, partnering cross-functionally, and mentoring engineers. The role requires extensive software development and people leadership experience, along with expertise in cloud infrastructure, CI/CD, DevOps, and agile practices. Preferred experience includes modern web technologies, serverless AWS architecture, infrastructure-as-code, data integration, application security, and regulated environments.

Leads product operations and strategy systems, including board reporting, cross-functional project cadences, process adherence, vendor spend audits, annual planning, investment business cases, and AI-enabled process automation. The role improves product development governance, drives strategic alignment, tracks accountability, and supports executive decision-making. This is a senior individual contributor position without direct people management responsibilities.

Leads P&ES OTR operational performance, regional support, KPI rhythms, productivity, AI initiatives, outage readiness, quality improvement, data management, and Lean implementation. Oversees project management processes, training, continuous improvement programs, and cross-functional execution across parts, repairs, engineering, services, and regional teams. Drives safety, delivery, customer satisfaction, cost reduction, standardization, and accountability while supporting strategic operational initiatives globally.

Lead Chainguard’s European government affairs and public policy strategy across the UK and Europe. Engage regulators, governments, standards bodies, and industry coalitions; develop policy positions and consultation responses; translate cybersecurity regulations into product, positioning, and customer implications; and establish a scalable policy function. The role requires senior stakeholder engagement, technical policy communication, frequent regional travel, and eventual team-building responsibility.

Leads the global HR technology and digital transformation strategy, including the transition from Workday to SAP SuccessFactors. Oversees HR technology governance, AI adoption, automation, analytics, data quality, digital workflows, employee self-service, and enterprise transformation programs. Builds and leads a high-performing digital HR function, develops organizational capability, drives adoption, and partners with senior HR, IT, and business leaders to deliver measurable improvements in HR efficiency, employee experience, and decision-making.

Leads global patient safety operations, including ICSR, device safety, and clinical trial data outputs. Oversees vendor case processing, compliance, quality metrics, audit readiness, regulatory reporting projects, and process improvement. Drives AI-augmented pharmacovigilance initiatives, agile delivery, cross-functional collaboration, and quality management system evolution across Roche.

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.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

Supports People & Values operations by improving employee lifecycle processes, administering HR systems, maintaining documentation and policies, implementing automation, and managing contingent workforce contracts. The role partners with Talent Acquisition, Legal, Finance, and internal stakeholders to improve onboarding, ensure compliance, maintain data integrity, and deliver scalable employee experiences.

Lead design, development, and deployment of scalable AI-powered customer-support automation, including Java microservices, Kafka pipelines, intent detection, routing, RAG, LLM workflows, and AI-agent integrations. Build solutions with AWS Bedrock, improve platform reliability and performance, collaborate on conversational experiences, and mentor engineers.

Review and annotate images by identifying people, actions, and predefined categories. Follow detailed annotation guidelines, maintain accuracy and consistency, review completed work, and help create high-quality datasets for AI models. The role requires strong attention to detail, independent work, reliability, and EU citizenship with residence in the European Union.

Lead the Agentic Discovery product chapter, initially owning business tooling, dashboards, transparency, and controls for AI-powered commerce experiences. Define strategy, align ML, engineering, design, and go-to-market teams, scale experimentation, launch reliable LLM-powered experiences, and establish metrics tied to usage, conversion, revenue, and engagement. The role will expand to chapter-wide leadership across on-site, offsite, and integrated agentic discovery surfaces.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Designs, builds, and operates production-grade agentic AI systems and orchestration frameworks. Responsibilities include prompt architecture, tool and API integrations, monitoring, evaluation, cost controls, reliability improvements, and governance documentation. The engineer collaborates with data science, data engineering, and governance teams to ensure reliable, compliant workflows using structured healthcare and pharmaceutical data.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Lead analysis and visualization of complex datasets to support pricing, product, customer, market, supply chain, inventory, and operational decisions. Develop executive reporting, scalable data models, self-service analytics, and AI-enabled data quality capabilities. Investigate discrepancies, improve processes, define data requirements, and collaborate with global cross-functional teams. Translate complex insights for technical and non-technical audiences while mentoring junior analysts and driving continuous improvement.

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.

Leads global supply chain controllership across manufacturing, inventory, procurement, logistics, and distribution. Oversees accounting policies, standard costing, inventory valuation, financial close, reporting, SEC disclosures, SOX controls, audits, and remediation. Builds teams, drives process standardization and continuous improvement, and partners with senior stakeholders across Supply Chain, Manufacturing, FP&A, Tax, Treasury, and Operations. Uses ERP tools, analytics, AI, Excel, and Power BI to improve controls, reporting quality, and close timelines.

Manage multi-country payroll operations, compliance, audits, controls, vendor relationships, payroll analysis, and process improvements. Lead payroll system automation and scalability initiatives while ensuring accurate and timely processing across jurisdictions. Partner with finance, HR, treasury, and external providers, monitor regulatory changes, and mentor a global payroll team in a distributed technology environment.