Top Artificial Intelligence Jobs in Warsaw

Leads analytical methodology and evaluation for AI-based healthcare and pharmaceutical workflows. Owns model selection, cohort and HCP segmentation, agent decision logic, and evaluation frameworks. Partners with engineering, data architecture, and governance teams to productionize rigorous analytical methods, identify new data and techniques, communicate insights, and mentor data science and engineering colleagues.

Leads data science methodology and advanced analytics for AI-enabled Medical Affairs workflows. Develops and evaluates statistical, machine-learning, NLP, and AI models using healthcare and real-world data; defines validation, monitoring, and decision frameworks; partners with engineering, governance, and business teams to operationalize solutions. Provides technical leadership, mentorship, documentation standards, and strategic guidance while ensuring privacy, compliance, responsible AI use, and clear communication of analytical findings.

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.

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.

Manage global data privacy compliance and documentation, support data protection contracts and DPIAs, and advise on GDPR, non-EU privacy laws, AI governance, and EU AI Act compliance. The role partners with legal, product, and technology teams, supports audits and internal policies, monitors emerging regulations, prepares educational materials, and promotes responsible AI and privacy practices across Aleph.

Own the vision, roadmap, backlog, and delivery of AI-powered products. Translate business challenges into scalable solutions, define KPIs and business cases, prioritize initiatives, manage stakeholders, drive adoption, and measure business impact. Collaborate with AI engineers, data teams, IT, security, and governance stakeholders to develop reusable AI capabilities across markets and functions.

Leads NN Poland’s AI Enablement Team and Center of Excellence, shaping Data & AI strategy, governance, architecture standards, investment priorities, and an enterprise portfolio of AI initiatives. Evaluates opportunities, drives experimentation and proofs of concept, and enables secure, responsible, production-ready AI adoption. The role manages resources, budgets, capabilities, and cross-functional collaboration across business, technology, security, risk, legal, compliance, and data governance teams.

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

Manages global regulatory submissions for investigational and marketing applications, including eCTD strategy, document compilation, publishing, health-authority delivery, submission tracking, and risk management. Coordinates cross-functional teams, maintains regulatory requirements, supports Veeva RIM activities, communicates regulatory changes, and leads process improvement initiatives across projects, studies, and countries.

Coordinates cross-functional digital, IT, system integration, migration, and transformation projects from initiation through implementation. Tracks timelines, budgets, risks, and milestones; gathers requirements; maintains documentation; and translates business needs into functional requirements. Manages external vendors, supports business system administration and access management, and promotes effective organizational use of AI solutions. Collaborates with international business, technical, and external stakeholders.

Develop, deploy, maintain, and test data science and machine learning models using Python, R, and SQL. Conduct and document analyses, present findings, coordinate initiatives, manage stakeholders, prioritize technical tasks, validate analytical quality, and support operational and management decision-making. Experience with Generative AI, MLOps, and cloud environments is advantageous.

Designs and builds production-grade AI applications natively on Snowflake using Cortex Analyst, Cortex Search, Snowflake Agents, semantic models, Python, and SQL. Develops secure, performant natural-language querying, retrieval, text-to-SQL, and agentic workflows over governed data. Owns delivery of a technical workstream, collaborates with data scientists, engineers, clients, and stakeholders, and supports enterprise GenAI and analytics solutions. Snowflake implementation experience is mandatory; regulated-industry experience is advantageous.

Develop and maintain scalable metrics engines, risk workflows, calculation platforms, and analytics systems for counterparty credit risk. Write production-grade code, optimize high-throughput data processes, implement cloud-first and AI-enabled architecture, and maintain engineering excellence through testing and code reviews. Collaborate with quantitative engineers, technical leaders, and product managers to deliver resilient systems supporting risk evaluation, credit ratings, scenario analysis, and risk appetite management.

Designs, builds, and operates production-grade agentic AI systems and orchestration frameworks. Responsibilities include prompt architecture, tool and API integrations, monitoring, evaluation, cost controls, reliability improvements, and governance documentation. The engineer collaborates with data science, data engineering, and governance teams to ensure reliable, compliant workflows using structured healthcare and pharmaceutical data.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Own Moss’s pricing and deal desk, approving non-standard pricing, discounts, and commercial terms while maintaining governance and deal velocity. Analyze discount discipline, price realization, deal structure, and win rates; develop segment-specific pricing guidance; coach sales representatives; and partner with Customer Success. The role also improves an AI-powered deal desk agent by reviewing its recommendations, correcting errors, and converting recurring exceptions into scalable rules and playbooks.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

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.

Design and implement AI-powered legal workflows and Libra Assistants for law firms, corporate legal departments, and public-sector clients. Translate legal reasoning into structured data, prompts, and automations; support pilots and proofs of concept; advise clients on AI-assisted legal work; create enablement content; and provide product feedback to improve accuracy, domain coverage, and adoption. The role requires close collaboration with Sales, Product, Engineering, and Customer Success teams.

Manages and grows strategic enterprise and scale-up accounts for AI and data consulting services. Builds executive relationships, develops account plans, identifies cross-sell and upsell opportunities, leads QBRs and workshops, negotiates renewals, monitors revenue and pipeline performance, and coordinates delivery and technical teams to ensure client satisfaction and value realization. Represents the company as a trusted AI consulting partner and supports international client engagements.

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, 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.

Manage multi-country payroll operations, compliance, audits, controls, vendor relationships, payroll analysis, and process improvements. Lead payroll system automation and scalability initiatives while ensuring accurate and timely processing across jurisdictions. Partner with finance, HR, treasury, and external providers, monitor regulatory changes, and mentor a global payroll team in a distributed technology environment.

Create experiential graphic design for global events, trade show booths, environmental graphics, pop-ups, and summits. Translate creative direction into spatial designs that work across materials, architecture, lighting, and physical environments. Develop brand design languages, contribute to ideation, present concepts, prepare production-ready artwork, and coordinate junior designers or external partners. The role also supports broader brand graphic design initiatives and requires independent project ownership across international teams.

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.