Top Artificial Intelligence Jobs in Czechia

Develop, validate, and deploy advanced AI and machine learning solutions for aerospace engineering and business challenges. Build generative AI, agentic AI, and predictive analytics applications; conduct experiments and evaluations; analyze data; report findings; and present results. Ensure solutions meet responsible AI, cybersecurity, regulatory, and governance standards. Lead innovation through research, prototyping, multidisciplinary collaboration, patents, technical publications, and industry engagement.

Regional Sales Engineer responsible for serving Polish customers and prospects, demonstrating cybersecurity solutions, explaining complex security challenges, and acting as the technical bridge between sales, marketing, support, engineering, and customers. The role requires expertise in endpoint and network security, strong presentation skills, English and Polish fluency, AI technology experience, and the ability to travel. Bonus experience includes malware analysis, threat intelligence, scripting, cloud platforms, virtualization, and security certifications.

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.

Develops and governs enterprise data architecture, including conceptual, logical, and physical data models; master and reference data standards; metadata, lineage, data flows, and data quality controls. The role leads architecture designs across integrated technologies, documents current and future-state landscapes, resolves cross-functional data issues, assesses risks and trade-offs, and aligns programs with enterprise data principles and business objectives.

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.

Develop Python software tools, KPI scripts, and hardware-in-the-loop solutions for LiDAR algorithm and system validation. Support software toolchain design, development-process automation, documentation, maintenance, specification and code reviews, and software quality activities. Collaborate with engineering teams on system requirements and specifications. This is a part-time trainee role for a university student with advanced Python skills and AI development experience.

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.

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.

Lead and grow the Prague Data Science team while contributing hands-on to process intelligence and data science projects. Design scalable solutions using process mining, automation, AI, and advanced analytics; manage client relationships, delivery quality, staffing, and team development. The role involves building the Prague office, coordinating with Munich, and delivering measurable business improvements for clients.

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.

Lead SAP SuccessFactors and SmartRecruiters HCM implementations for enterprise clients. Own delivery plans, quality, risk, workshops, root-cause analysis, stakeholder relationships, and go-live execution. Advise customers on AI-powered HR automation, validate outcomes through scenario testing, configure business processes, and plan AI workforce transformations. Mentor distributed consultants and support cross-border projects across Europe.

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.

Lead and close complex enterprise SaaS and AI solution deals, expand strategic accounts, generate new enterprise opportunities, and exceed pipeline and revenue targets. Build relationships with C-suite and senior decision-makers, maintain accurate Salesforce data, sell through business value, and collaborate with system integrators and hyperscalers. The role requires independent pipeline management, strong executive communication, solution-based selling, and success in high-growth environments.

Design and build AI-powered search and retrieval systems, including hybrid keyword and vector search, RAG pipelines, document ingestion, indexing, embeddings, ranking, and LLM-based services. Develop scalable Python infrastructure, evaluate search relevance, and deploy reliable services in AWS. Collaborate with product, data, and cloud operations teams to improve AI search performance, latency, and customer outcomes.

Supports Cisco’s regional ethics and compliance program across Europe, the Middle East, and Africa. Designs, implements, monitors, and improves compliance processes, internal controls, risk mitigation programs, and automated workflows. Supports training, third-party diligence, conflicts of interest, audits, investigations, remediation, and regional compliance committees. Uses analytics, dashboards, and emerging technologies to improve operational excellence while collaborating with Legal and cross-functional stakeholders.

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.

Lead the functional consulting practice for Rossum solution delivery, managing seven senior consultants and establishing standards for schema design, workflows, configuration, AI tuning, validation, training, and post-go-live support. Partner with AI research and innovation teams to operationalize AI-native delivery methods, scale successful pilots, define customer handoffs, and shape services strategy. The role requires extensive enterprise SaaS implementation or professional services leadership, IDP or comparable AI platform experience, and at least three years of people management.

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.

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.

Leads enterprise process intelligence and transformation initiatives through BPMN modeling, process mining, requirements gathering, data analysis, KPI development, and business value assessment. Identifies opportunities for process optimization, automation, and AI; facilitates stakeholder workshops; supports software development lifecycle activities, testing, deployment, and documentation; and presents recommendations to guide decisions, change management, and adoption across global teams.

Leads IT engagement, service delivery, governance, budgets, vendors, and project portfolios across 13 countries. Partners with regional and global business leaders to align IT strategy, ensure SLA compliance, manage escalations, drive standardization and automation, and deliver technology rollouts. The role also supports AI adoption, cost optimization, security compliance, and continuous improvement while overseeing regional IT investments and employee satisfaction.

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.