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.

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

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

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.

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.

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.

Design and document scalable, secure solutions for R&D labs across the product lifecycle. Define reference architectures, NFRs, ADRs, data models, taxonomies, and ontologies. Create PoCs, assess vendor technologies, manage technical debt, and coordinate stakeholders to drive adoption and alignment with enterprise standards.

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.

The Senior Specialist supports regulatory activities for clinical trials, ensuring compliance with submission requirements, engaging stakeholders, and managing documentation processes while promoting improvements and efficiencies in submission management.

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.

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.

Own product vision and full lifecycle for site, SHE and sustainability technology solutions. Lead large autonomous initiatives, provide enterprise systems consulting, shape strategic roadmaps, drive root-cause analysis, resolve cross-functional conflicts, and advise senior leadership while balancing global strategy with local site priorities.

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.

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.

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.

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

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.

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.

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.

Analyze and investigate customer matches against sanctions and KYC/AML lists during account opening and maintenance. Conduct searches, gather and record evidence from internal systems, internet and commercial databases. Collaborate with Business and Compliance partners, operate within agreed timeframes, apply training, build sanctions/KYC knowledge, and use AI/ML screening tools to support alert disposition.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Build and productionize AI/ML solutions for bank risk management, including fine-tuning LLMs, architecting RAG systems, processing large unstructured data, designing agentic workflows, extracting NLP signals for credit/risk features, and ensuring models are testable, reproducible and deployed via Azure DevOps on GCP.

Own the full enterprise sales cycle for Libra's legal AI platform in the public sector in Poland. Build relationships with legal leaders, design tailored demos and pilots with Legal Engineering, navigate complex procurement and multi-stakeholder deals, maintain pipeline and forecasting, and contribute market feedback and enterprise sales playbook development.

As an Applied AI Engineer, you will architect, build, and deploy enterprise-grade AI solutions, work with customers to address complex challenges, and collaborate with cross-functional teams to innovate using AI tools.