Top Artificial Intelligence Jobs in Warsaw

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 digital, data, and technology partnership for Eastern Europe, translating business priorities into technology and AI roadmaps. The role governs portfolios, defines enterprise-ready requirements, leads selected transformation initiatives, promotes responsible AI adoption, and establishes support, compliance, risk, and audit practices. It also manages dependencies, communicates portfolio health, drives stakeholder alignment, and supports adoption across business, technology, data, security, privacy, and delivery teams.

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.

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.

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.

Drive new business and revenue growth across the Nordic territory by generating pipeline, managing complex SaaS sales cycles, forecasting accurately, presenting solutions, negotiating with technical and executive stakeholders, and closing strategic accounts. The role also involves account relationship management, collaboration with marketing, product, customer success, and channel teams, Salesforce data integrity, and use of structured sales methodologies such as MEDDICC.

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 the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for AI agents. Design experiments across prompts, models, and agent harnesses; diagnose failures; improve quality, latency, and cost; and partner with AI Core engineering to validate production changes.

Lead the design, development, deployment, and operation of production-grade generative and agentic AI solutions. Build multi-agent workflows, RAG systems, enterprise integrations, evaluation frameworks, and secure cloud deployments on AWS. Establish reusable architecture patterns, testing, observability, and governance practices while collaborating with technical teams, stakeholders, and European clients.

Provides pragmatic legal and compliance counsel to pharmaceutical commercial, medical, clinical, supply, IT, HR, and finance functions in Poland. Advises on pharmaceutical promotion, distribution, reimbursement, clinical research, competition, privacy, employment, contracts, governance, investigations, and risk mitigation. Develops policies, negotiates agreements, supports ethical access strategies, delivers training, and tracks legal and compliance improvements while enabling responsible innovation.

Lead the coordination and authoring of regulatory documents for submissions and approvals, ensuring integration of scientific and regulatory input from cross-functional teams.

Design, automate, and maintain credit risk data, ETL and reporting processes. Build Power BI dashboards, automate workflows with Microsoft Power Platform, write SQL/Python queries, partner with risk managers, and apply ML/AI to improve reporting and decision-making.

Supports ESG reporting, data consolidation, disclosure preparation, and external assurance activities. Coordinates cross-functional stakeholders and assurance providers, validates ESG and greenhouse gas emissions data, maintains reporting methodologies and governance documentation, and improves reporting controls and processes. Contributes to CSRD readiness, double materiality assessments, ESG ratings, and disclosures aligned with GRI, SASB, ISSB, and TCFD frameworks.

Leads a 24–25-person engineering organization across payment, checkout, and sales products. Responsibilities include developing engineering managers and technical leaders, setting architecture and delivery standards, shaping technology strategy, managing dependencies, improving engineering metrics and reliability, and driving responsible AI adoption. The role requires strong Java and Spring Boot expertise, distributed systems experience, organizational scaling capability, and data-driven technology leadership.

Own the full enterprise B2B sales cycle for Sana’s AI products in Poland, from prospecting and opportunity development through solution shaping and deal closure. Build self-sourced pipeline, exceed quotas, close $10K–$100K ACV opportunities, and engage C-level decision-makers. Partner with product, engineering, and strategy teams to align solutions with customer needs and expand Sana’s market presence.

Leads Fortrea’s enterprise Data and AI product strategy, portfolio, roadmap, delivery, investment prioritization, adoption, and value realization. Manages Product Managers and partners with Engineering, Data, AI, Architecture, Security, Finance, and executive stakeholders to deliver measurable business outcomes. Establishes product governance, operating models, funding priorities, success metrics, and continuous improvement while driving innovation and organizational capability development.

Leads enterprise technology strategy, delivery, and transformation across Finance, FinTech, Legal, and Risk. Oversees product platforms, Agile and DevOps adoption, AI and data initiatives, digital transformation, change management, vendor partnerships, governance, and technology operations. Partners with executive stakeholders to align global priorities, integrate platforms, manage dependencies, and deliver scalable, secure, value-driven outcomes across a federated enterprise technology organization.

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.

Designs and optimizes structural mechanical components for gas turbine products. Responsibilities include mechanical analysis, design documentation, root cause analysis, corrective actions, cross-functional collaboration, technical ownership, design reviews, milestone management, and continuous improvement using Lean principles. The role requires a mechanical engineering degree, strong communication skills, safety and quality focus, and familiarity with NX and AI concepts.

Own the technical direction for validating AI agent-generated software. Build prototypes and platform systems that identify gaps between passing tests and working features, provide mid-loop feedback for agent self-correction, and support trusted development across Rust, Ruby, and Go. Collaborate with engineering teams to drive adoption, measure trust and validation quality, establish architecture, review designs, and mentor teammates in a remote asynchronous environment.

Supports the Poland commercial team during pre-sales by conducting technical discovery, designing API-based solutions, creating tailored demos and presentations, and translating customer challenges into payment product solutions. Owns the technical customer lifecycle through deal closure, collaborates on upsell opportunities, delivers internal product training, and manages handoffs to post-sales implementation teams.

Leads medium-to-large IT infrastructure and enterprise engineering initiatives from strategy through implementation. Responsibilities include scope, budget, milestone, risk, stakeholder, and data management; process governance using ITIL and IT4IT; Lean Six Sigma root-cause analysis; continuous improvement; organizational change management; AI-enabled process automation; and software quality and compliance coordination.

Own the vision, roadmap, architecture, and lifecycle of an AI-powered insights platform using autonomous agents to analyze CPG business data and generate recommendations. Translate commercial needs into agent capabilities, manage backlogs and delivery, define evaluation metrics, drive adoption, and ensure responsible AI, security, privacy, vendor, and budget management.

Lead research and hands-on development for voice AI, focusing on real-time understanding and reasoning. Develop speech-to-text systems and multimodal large language models, advance existing fine-tuning and model architectures, and collaborate on data pipelines supporting product development. The role owns technical strategy and implementation while expanding the company’s commercial voice AI capabilities.

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.