Top Artificial Intelligence Jobs in Poland

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.

Assess and manage cybersecurity risks across AI systems, models, data pipelines, and supporting environments. Conduct AI security assessments, architecture reviews, threat modeling, and risk assessments; define lifecycle controls, standards, and guardrails; and support governance, monitoring, incident response, and remediation. The consultant will advise financial services clients on secure AI adoption while collaborating with security, data, engineering, architecture, risk, and business stakeholders. The role requires a one-year relocation to Qatar.

Leads operational excellence across Takeda’s Global Finance Center of Excellence by designing and improving performance, continuity, risk, process documentation, knowledge-sharing, and governance frameworks. Develops Lean Six Sigma and Agile training, mentors improvement projects, coaches teams, manages KPIs, and drives process improvements using data, digital solutions, AI, and machine learning. Requires strong stakeholder management, analytical thinking, business judgment, and experience delivering improvement initiatives in transactional environments.

Leads operational excellence initiatives across Takeda’s Global Finance Center of Excellence. Develops Lean Six Sigma, Agile, and process improvement training; coaches teams on DMAIC projects; manages performance KPIs; improves processes through data, digital solutions, AI, and machine learning; and establishes governance frameworks supporting operational resilience, business continuity, risk management, process documentation, and sustainable performance.

Leads operational excellence and process design across Global Program Teams and Research and Development functions. Evaluates current-state processes, designs scalable future-state workflows, identifies automation and AI opportunities, develops user-friendly documentation and toolkits, and partners with technology, enablement, and functional teams on pilots, adoption, governance, and continuous improvement. Tracks process performance indicators and builds internal process design capability.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Leads and supports global oncology real-world evidence and epidemiology studies across drug development. Responsibilities include study design, literature synthesis, protocol and report authoring, observational data analysis, regulatory support, stakeholder presentations, external partnerships, peer review, compliance, and tracking project deliverables. The role generates evidence and insights for Pfizer oncology assets while collaborating with medical, regulatory, and cross-functional teams.

Leads clinical data science strategy, delivery, and people development across pharmaceutical clinical development programs. Oversees quantitative analyses using clinical, biomarker, real-world, and high-dimensional data; guides statistical, machine learning, simulation, and visualization methods; and ensures analysis-ready, traceable, reproducible, submission-ready outputs. Partners with clinical, regulatory, data management, pharmacovigilance, programming, technology, and external teams. Supports health authority interactions, regulatory submissions, inspection readiness, resource planning, risk mitigation, standards, automation, and capability building.

Manages clinical data science activities supporting pharmaceutical development studies. Performs exploratory analyses, visualization, quantitative assessments, data review, and interpretation across clinical, biomarker, real-world, and other data sources. Develops analysis-ready datasets, reproducible workflows, specifications, and submission-ready deliverables using statistical, machine learning, automation, and advanced analytics methods. Collaborates with cross-functional study teams, communicates data and analytical risks, and supports regulatory-compliant, traceable, high-quality decision-making.

Leads a clinical data science team supporting pharmaceutical development, regulatory submissions, and inspection readiness. Oversees statistical and machine learning analyses using clinical trial, biomarker, real-world, and external data. Sets analytical strategy, ensures traceable and submission-ready datasets and outputs, manages vendors and resources, partners cross-functionally with global regulatory teams, and develops direct reports and broader team capabilities.

Lead clinical data science and statistical analytics across pharmaceutical development studies. Design analyses using clinical, biomarker, real-world, and external data; oversee partners; define regulated, submission-ready data flows; apply statistics, machine learning, simulation, and visualization; manage analytical risks; mentor colleagues; and advance reproducible, automated, AI-enabled clinical data science practices.

Leads the establishment, growth, and operational maturity of Takeda’s Data and Quantitative Sciences organization in Poland. Oversees workforce strategy, recruiting, onboarding, training, talent development, organizational effectiveness, strategic initiatives, change management, governance, and site leadership. Partners with global DQS leaders, HR, talent acquisition, and Poland GCC stakeholders to scale capabilities, improve delivery excellence, manage risks, and align local operations with global R&D priorities across a complex matrix environment.

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.

Lead Salesforce product initiatives supporting global sales teams. Translate seller and sales operations needs into requirements, roadmaps, business processes, and Salesforce solutions. Gather cross-regional feedback, oversee implementation and rollout, improve adoption, support reporting, and coordinate training and communications. Partner with sales, IT, architects, and technical teams while evaluating AI, machine learning, and new Salesforce capabilities to reduce administrative burden and improve business impact.

Support SAP FI/CO implementations through system configuration, business process mapping, testing, validation, requirements gathering, and documentation. Assist with translating business needs into SAP solutions and preparing user training materials. The internship requires active student status, at least 32 hours per week, strong English and Polish communication skills, analytical ability, teamwork, and interest in SAP consulting and artificial intelligence.

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 and expand relationships with three strategic financial-services clients in Poland. Develop account strategies, lead complex enterprise technology sales cycles from discovery through close, engage C-level executives, collaborate with Salesforce experts and partners, and identify expansion opportunities across business units.

Develop a pro-human strategy for AI emphasizing controllable, verifiable, human-centered systems. Track efficient models, open-source AI, robotics, and industrial applications; engage international policymakers and stakeholders; build coalitions; and translate technical strategy into policy recommendations. The role requires strong AI technical fluency, policy engagement experience outside the US and China, excellent communication, stakeholder management, and independent strategic leadership.

Lead privacy engineering strategy and automation across the product lifecycle. Own Privacy by Design, DPIAs, privacy assessments, DSR processes, privacy controls, monitoring, metrics, and governance. Build scalable tooling and technical standards across cloud architectures, APIs, data platforms, and products. Advise Product, Engineering, Security, Architecture, Legal, and Privacy teams while applying privacy-enhancing technologies, AI governance, and regulatory frameworks.

Coordinate and optimize data provisioning operations, including access requests, governance checks, stakeholder collaboration, exception management, service monitoring, recordkeeping, and process improvement. The role supports policy-led and automated data access while ensuring legal, regulatory, contractual, and ethical compliance. It also identifies opportunities to use workflow automation and AI to improve productivity, service quality, and user experience.

Own the AI and agentic decisioning strategy for payment operations across Europe and North America. Define autonomy and human-oversight frameworks, prioritize AI portfolios, measure value realization, guide digital self-service improvements, and lead responsible AI governance. Establish blended human-AI operating models, workforce readiness, and executive stakeholder alignment across Product, Technology, Risk, Compliance, and Operations.

Lead enterprise AI strategy and advisory engagements, defining roadmaps, prioritizing use cases, building AI Centers of Excellence, and guiding initiatives into production. Advise C-level stakeholders, assess emerging technologies, develop investment cases, drive AI adoption and change management, facilitate strategic workshops, and support proposals and client relationships. The role requires strong AI expertise, strategic communication, stakeholder management, and technical judgment without daily hands-on implementation.

Performs final reviews of fund valuation processes and monitors production schedules to ensure accurate, timely NAV calculations. Serves as the primary client contact for operational matters, resolves requests, maintains procedures and controls, communicates process enhancements, and escalates significant issues. Requires financial knowledge, analytical skills, strong English, and Excel proficiency. People management and experience with analytics, automation, or AI-enabled tools such as Alteryx are preferred.