Top Artificial Intelligence Jobs in Budapest

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.

Leads enterprise operational excellence across Power, Wind, and Electrification. Owns cross-company initiatives involving Lean, quality, AI integration, Zero Defect, and Lean Business System deployment. Coordinates strategy deployment, governance, process design, operational analytics, change management, and talent development. Partners with senior executives and Digital Technology teams to improve SQDC performance, accountability, consistency, and continuous improvement across global segments.

Build and nurture diverse talent pipelines through proactive sourcing, market mapping, talent intelligence, candidate outreach, and talent communities. Partner with recruiters and talent engagement leaders on sourcing strategies for critical and niche roles. Use Avature and other recruiting technologies, including AI and automation, to improve sourcing effectiveness. Track pipeline health, diversity outcomes, and sourcing metrics while ensuring ethical and privacy-compliant practices.

Lead data, measurement, and insights for Corporate Affairs by integrating qualitative and quantitative data across communications channels. Build dashboards, reporting processes, databases, scoring systems, and AI-enabled tools; measure reputation, sentiment, share of voice, campaign performance, and employee communications outcomes. Translate complex analysis into clear recommendations for senior stakeholders, support crisis communications, and improve planning, investment, and audience engagement across global markets.

Leads EMEA-wide data, transformation, AI, and automation projects across real estate business functions. Responsibilities include improving data tools, processes, quality, and lifecycle management; coordinating cross-functional stakeholders; deploying new solutions with change management; resolving data issues using SQL; and reporting progress and recommendations to senior leadership. The role also supports analytics adoption, stakeholder training, and mentoring junior data and analytics staff.

Own and evolve Roche’s global finance reporting and planning processes, serving as a product owner for SAP Analytics Cloud planning modules. Analyze stakeholder requirements, govern change requests, support global template deployments, promote data-driven adoption, and identify and implement AI and advanced analytics use cases. The role bridges finance strategy, SAP technologies, digital transformation, and cross-functional stakeholder management.

Lead the AI Quality engineering team while building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for production AI agents. Responsibilities include measuring agent quality, diagnosing failures, evaluating models, improving cost and latency, managing team priorities, and partnering with AI Core engineering. The role is hands-on and requires production software development experience with complex tool-using AI systems.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Design experiments across prompts and models, improve quality, latency, and cost, diagnose agent failures, and partner with AI Core engineering. Manage team priorities while contributing directly to Ruby on Rails and Python code.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for AI agents. Responsibilities include designing CI/CD pipelines and scorers, diagnosing agent failures, evaluating models, optimizing cost and latency, and partnering with AI Core engineering to improve production AI quality. The role also includes team leadership and management.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for production AI agents. The role evaluates models, prompts, tools, and agent behavior while improving quality, latency, and cost. Responsibilities include leading technical direction, managing team priorities, coding, and partnering with AI Core engineering. Experience with production software, LLM agents, evaluation infrastructure, Ruby on Rails, Python, and ML/AI datasets is required.

Lead the AI Quality engineering team while building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Design experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering, manage priorities, and remain hands-on with implementation.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tools, diagnostic systems, datasets, annotation workflows, and experiment frameworks for production AI agents. Responsibilities include measuring agent quality, tracing failures, evaluating models, improving cost and latency, managing team priorities, and partnering with AI Core engineering. The role requires substantial production software experience, AI/ML evaluation expertise, and proficiency or adaptability in Ruby on Rails and Python.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

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.

Provides global FP&A leadership for Operations and the Chromatography and Mass Spectrometry Division. Oversees financial reporting, analytics, forecasting, AOP, long-range planning, close cycles, and risk and opportunity reviews. Partners with cross-functional teams to improve business performance, streamline finance processes, and support compliant decision-making under US GAAP and SOX. Requires strong finance business partnership, manufacturing or supply chain finance experience, systems expertise, and approximately 10% domestic and international travel.

Own the lifecycle of AI products by translating business priorities into executable roadmaps, partnering with engineering and design, driving delivery, and incorporating user feedback. Lead client demonstrations, define and evaluate product metrics, coordinate cross-functional teams, and align product development with broader innovation strategy. The role requires strong product management, leadership, communication, analytical, agile, and user research skills.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

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 immigration matters by preparing and filing petitions, assisting with U.S. talent visa processes, researching immigration laws and regulations, and collaborating with cross-functional teams on legal compliance. The role suits an organized, adaptable paralegal with immigration documentation experience who is interested in contributing to an AI-driven startup law firm serving international teams.

Leads OKX’s global marketing compliance function, building policies, controls, review and approval processes, monitoring programs, and regulatory change management for advertising, promotions, social media, influencers, affiliates, and product launches across CeFi and DeFi. Partners with Marketing, Product, Legal, Risk, and Compliance teams; manages incidents, supports audits, delivers training, and scales the compliance team and framework.

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.

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.

Leads clinical documentation innovation projects within a pharmaceutical R&D environment. Responsibilities include implementing automation and AI solutions, managing clinical document production, overseeing vendors, defining business requirements, coordinating UAT, mapping data to templates, onboarding users, ensuring quality control, tracking KPIs, and improving processes. The role collaborates with Clinical Documentation, Digital, Biostatistics, Trial Operations, Pharmacovigilance, Medical Affairs, suppliers, and other stakeholders.

Leads Global Travel’s commercial analytics capability by defining the analytics roadmap, developing Power BI dashboards and self-service reporting, and implementing AI-enabled digital and automation solutions. Partners with Commercial, Finance, Revenue Growth Management, Marketing and Digital teams to translate business priorities into scalable analytical solutions, evaluate emerging technologies, influence senior stakeholders and drive adoption of data-driven decision-making.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.