Top Artificial Intelligence Jobs in Warsaw

Lead design, conduct, and reporting of global real-world evidence and epidemiologic studies for oncology assets. Synthesize literature, develop study protocols/reports, deliver RWE insights, support regulatory submissions, cultivate internal and external partnerships, ensure quality and compliance, and communicate findings to stakeholders and regulatory authorities.

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

As an AI Engineering Lead, you'll shape AI operations, develop strategies, mentor a team, and integrate AI technologies into operations for impactful outcomes.

Lead communications strategy for ING Hubs Poland, advising senior leaders and managing internal and external communications. Responsibilities include crisis and reputation management, employer branding, media relations, stakeholder engagement, employee communications, transformation campaigns, executive messaging, events, communications measurement, and adoption of new tools including AI. The role leads a communications team and collaborates with ING’s global communications network.

Lead end-to-end process reengineering and automation initiatives to standardize client engagement, drive operational excellence, implement RPA/AI solutions, manage integrations, enforce governance, define KPIs, and foster continuous improvement across global stakeholders.

Lead a cross-functional squad to define product vision, roadmap and deliver new features for institutional English assessments. Translate business needs into requirements, write and prioritize epics and user stories, run agile ceremonies, collaborate with UX/development/marketing/operations, use data to iterate, and mentor colleagues to achieve measurable business outcomes.

Design and deliver scalable, secure solutions for R&D labs by defining reference architectures, data models, taxonomies and NFRs. Lead solution lifecycle from concept and PoCs through implementation, manage technical debt, perform vendor assessments, and align stakeholders and architecture governance to drive adoption and business value.

Lead and develop globally distributed Data and AI teams to deliver production Data/AI solutions. Drive talent development, operational excellence, stakeholder alignment, and responsible AI practices while partnering with Product and Engineering to set priorities, roadmaps, and delivery metrics.

As a Senior Solution Architect, you will design solutions for Roche's quality and compliance systems, lead complex problem solving, and drive technology adoption to enhance business processes.

Lead organization-wide adoption of AI and Data Science within Nuclear Engineering to drive Engineer 2030 productivity and $800M EBITDA growth. Build and manage a high-performing team, define AI strategy, ensure regulatory governance and compliance, apply Lean+AI to eliminate waste, and deliver measurable financial and productivity outcomes.

Leads a new Warsaw-based engineering team building AI-powered technology for Netflix Consumer Products. Responsibilities include hiring, coaching, setting technical direction, managing execution, shaping roadmaps with product and cross-functional partners, advising on technical decisions, improving stability and performance, reducing technical debt, and collaborating with engineers and stakeholders across Poland and the United States.

Lead management and optimization of Crayon and Clozd platforms, integrate them with CRM and sales enablement systems, drive cross-functional adoption, execute win-loss programs, monitor platform metrics, and deliver actionable competitive and buyer insights to improve win rates and product roadmaps.

Design and implement a scalable control plane for AI storage, optimize performance, collaborate cross-functionally, and enhance reliability.

Design, implement, and optimize end-to-end AI pipelines including model training, deployment, monitoring, and inference. Build IaC and CI/CD workflows, ensure secure compliant production deployments, design deep learning models for NLP/vision/speech, troubleshoot performance, and mentor junior AI/Ops engineers while collaborating with stakeholders.

Leads the global execution of Roche’s AI-first Autonomous Remote L1 Support Program. Responsibilities include redesigning and harmonizing support workflows, coordinating CCaaS and GenAI dependencies, managing milestones and benefits, applying ADKAR change management, leading multifunctional teams, resolving stakeholder and compliance issues, and presenting to senior leadership. The role drives omnichannel support adoption, autonomous resolution, operational efficiency, and global business impact across Diagnostics Customer Support.

Design, build, test, and deploy AI-enabled applications for financial services using LLMs, RAG, semantic search, embeddings, and agentic patterns. Integrate with data platforms, ensure scalability, reliability, monitoring, and governance, and collaborate with stakeholders to deliver production-ready, explainable AI solutions.

Manage Oracle Financials solutions for Accounts Receivable, Accounts Payable, General Ledger, Payments, and Cash Management. Configure systems, develop test strategies, and execute documentation.

Lead complex, cross-functional Enterprise Technology and AI programs from planning through delivery. Develop roadmaps, resource plans, success metrics, governance frameworks, and status reporting. Align technical and business stakeholders, manage dependencies and risks, resolve blockers, and translate requirements into actionable plans. Partner with IT leadership and functions including Finance, Legal, Sales, and Product in a globally distributed, async-first environment.

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.

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

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

Translate and localize content between Polish and Lithuanian, preserving cultural nuance, accuracy, tone, and contextual relevance. Edit language content, apply terminology standards, provide structured feedback to improve language models, and support quality assurance for digital tools and applications. Collaborate with production and cross-functional teams as an independent contractor with flexible scheduling and project-based availability.

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.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.