Top Artificial Intelligence Jobs in Warsaw

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

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

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 EMEA Employee Relations, Labor Relations, and HR Generalist services. Define regional strategy, manage Works Council and union relationships, oversee investigations, optimize hybrid service delivery, drive transformation, implement data-driven tracking and AI-enabled insights, and partner with HR COEs and business leaders to support M&A and growth.

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.

Lead storytelling and communications for Pfizer's AI-native engineering transformation: set strategy, create content and live events, manage budgets and agency relationships, build cross‑functional engagement, track success metrics, and lead a storytelling team to translate engineering work for executives and broader audiences.

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.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

The Data Scientist will design and optimize ML and Generative AI models, perform data analysis, and collaborate with technical teams to develop AI solutions. Requires 4 years of experience and strong Python skills.

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 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.

The Manager of Submission Management leads regulatory activities for projects, oversees eCTD submissions, and drives continuous improvement initiatives while collaborating with stakeholders and teams.

The role involves providing employee relations guidance, handling grievances and investigations, maintaining HR data integrity, and leveraging AI tools to improve processes.

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 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.

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.

Lead engineering activities for productizing Deep Learning models, mentoring team members, collaborating across units, and optimizing DL workloads.

The AI Solutions Architect will lead the design of GenAI solutions, evaluate AI frameworks, support presales efforts, and ensure solutions are scalable and secure.

Lead the vision and execution for AI analytics in JetBrains Console, focusing on customer adoption, usage, cost, and decision-making.

As a Technical Product Manager, you will shape product vision for AI capabilities, collaborate with engineering and design teams, manage product lifecycle, and drive prioritization to deliver scalable solutions while communicating across technical and non-technical audiences.

Define and operationalize ontology- and knowledge-graph-driven governance for Data & AI platforms. Design semantic layers, business glossaries, taxonomies, and metadata-driven governance. Collaborate with architects, engineers, InfoSec, compliance, and AI teams to embed Agentic and Responsible AI governance, lead client workshops, and shape enterprise-scale data governance solutions.

Lead and govern the Investor Operations AI portfolio: prioritize and deliver AI use cases, provide solution oversight (model selection, deployment), enable reuse and platform adoption, and ensure regulatory MRM compliance while partnering with engineering and data science teams.