Top Artificial Intelligence Jobs in Czechia

Lead the design, development, validation, and deployment of AI and machine learning solutions, including generative AI, agentic AI, and predictive analytics applications. Conduct evaluation experiments, analyze results, prepare reports, and present findings. Ensure solutions meet responsible AI, cybersecurity, regulatory, and governance requirements while collaborating across multidisciplinary engineering teams. Contribute to innovation through patents, technical publications, conference presentations, and industry engagement.

Own the vision, strategy, and lifecycle of Coupa’s AI Document Intelligence products. Translate LLM, embedding, and agentic AI capabilities into reliable procurement and finance workflow experiences. Partner with data science, ML engineering, UX, engineering, go-to-market, and customer teams to prioritize use cases, define success metrics, launch AI features, and drive adoption. The role requires strong AI product expertise, customer empathy, communication, and the ability to influence cross-functional teams without formal authority.

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.

Supports global IT procurement through contract management, supplier performance analysis, negotiation preparation, sourcing strategy, KPI reporting, and AI-enabled process improvement. Collaborates with digital services, Finance, and Legal teams while using analytical tools to identify opportunities and support decisions. The six-month paid internship offers exposure to global IT sourcing and cross-functional business operations.

Leads a 30+ person R&D department developing autonomy, cockpit automation, human-machine interaction, operator monitoring, and AI-enabled aviation technologies. Sets technical strategy, manages project portfolios, budgets, staffing, risks, and technology roadmaps, and guides research toward product development and customer demonstrations. Builds partnerships with customers, suppliers, universities, and research organizations while ensuring disciplined engineering execution, compliance, communication, and talent development.

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.

Design, build, deploy, and optimize production-grade generative AI agents, copilots, and intelligent workflows. Lead end-to-end delivery from solution design and prompt engineering to deployment, monitoring, and continuous improvement. Partner with business stakeholders to transform processes for AI-first execution, define KPIs, ensure governance and security, provide training and change management, and contribute reusable frameworks and best practices across the AI Center of Excellence.

Design, build, and operate an enterprise AI Hub providing shared runtime, CI/CD, model registry, observability, governance, and developer tooling to enable scalable, secure production AI and self-service capabilities across cloud and hybrid environments.

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.

Serve as a trusted technology advisor to strategic enterprise customers, translating business priorities into secure AI, cloud, data, application, and security transformation strategies. Build executive relationships, develop technology roadmaps, connect customer goals to Microsoft solutions, orchestrate technical teams and partners, and guide adoption and value realization. Support Azure consumption, Copilot and Security adoption, commercial pipeline development, governance, and customer outcomes through consultative technology leadership.

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 Novartis’s global SOX IT Compliance Program, overseeing IT general and application controls, governance, testing, audit coordination, deficiency remediation, and executive reporting. Partners with Finance Compliance, external auditors, IT leaders, and application owners to maintain SOX scope and strengthen internal controls. Drives compliance modernization through automation, analytics, continuous monitoring, and AI-enabled capabilities while assessing impacts from cloud, ERP, and technology transformation initiatives.

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.

Manage SAP partners across the Czech Republic and Slovakia by building strategic relationships, developing joint business plans, driving revenue commitments, creating sales pipelines, and enabling partner demand generation. The role includes coaching partners on SAP sales methodologies, solution positioning, competitive responses, and go-to-market messaging while optimizing partner investment and enforcing PartnerEdge requirements.

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.

Build and maintain scalable cloud AI platforms for sourcing applications. Partner with research and product teams to develop data pipelines, feature storage, experiment tracking, model lifecycle workflows, monitoring, and reliable ML services. Design infrastructure for model training, evaluation, and production inference while improving experimentation, benchmarking, and reproducibility. Contribute to platform architecture, documentation, and long-term strategy.