Top Artificial Intelligence Jobs in Warsaw

Lead AI Solutions Consultant partners with business, tech, data, risk, and platform teams to shape AI/ML/NLP/Generative AI solutions. Responsibilities include feasibility assessments, solution frameworks, risk and dependency mapping, implementation guidance, and ensuring responsible AI, governance, privacy, and security considerations across enterprise deployments.

Design and own the enterprise metadata and data discoverability architecture for a Databricks Lakehouse. Implement Active Metadata, Unity Catalog governance, lineage, tagging, and security; integrate metadata with BI and AI systems; evaluate Databricks features to automate metadata flows; provide technical leadership and mentor engineering teams.

Evaluate AI-generated coding interactions end-to-end, judging usefulness, high-level correctness, engineering judgment, and quality of explanations. Provide clear, opinionated feedback, distinguish response quality levels, and help define best practices for AI-assisted developer workflows.

Lead evaluation, prototyping, and validation of AI solutions for Procurement. Build prototypes using Microsoft and Azure AI tooling, create reusable AI accelerators, run feasibility and proof-of-value assessments, design AI testing and prompt engineering standards, and drive vendor/build strategy while sharing best practices across Procurement and IT.

Lead delivery and scaling of AI capabilities across procurement platforms and workflows. Manage pilot-to-production lifecycle, integrate AI into Coupa/Cirtuo/CCS and analytics, redesign processes, drive adoption, measure value, and partner with procurement, IT, and stakeholders to deliver production-ready AI solutions.

The Principal AI Engineer will solve high-impact problems using AI, develop end-to-end solutions, and influence technical direction across teams.

Support integration of AI and automation across the data platform, build ETL and data quality checks using Dataiku, prepare data for reporting and analysis, improve reporting via ML and automation, collaborate with analysts and stakeholders to deliver reliable AI/data solutions and identify data improvement opportunities.

The Principal Test Automation Engineer will design and implement testing strategies, apply AI tools for quality, enforce testing standards, and integrate testing into CI/CD processes.

Lead product ownership for Data, Analytics & AI, driving roadmap, stakeholder alignment, and telephony/AI migrations. Deliver conversational AI and VUI solutions, oversee model lifecycle, testing, and integrations (Genesys, Salesforce, Snowflake) while influencing adoption across decentralized global markets.

This role involves designing, developing, and deploying AI and automation solutions, ensuring integration with enterprise systems, and meeting security standards. The position requires hands-on engineering skills in AI development, particularly with Python and AI frameworks.

Execute structured prompt testing, prototype lightweight AI workflows, configure and validate custom GPTs, document prompt libraries and exemplars, provide coaching and office-hour support, track usage patterns, and contribute technical input to enable responsible AI adoption across the firm.

The Process Efficiency Manager will lead continuous improvement initiatives, utilizing Lean Six Sigma methodologies, data analysis, and stakeholder management to drive operational excellence.

The Lead Software Engineer will design, develop and implement software solutions while mentoring junior engineers and ensuring high software quality in a collaborative environment.

The role involves drafting, editing, and managing communications materials while leveraging AI tools to enhance communication quality within the organization. The specialist will train staff on AI resources and maintain editorial standards.

Lead and deliver high-priority regional strategic initiatives across Europe by translating priorities into plans, governance, and delivery roadmaps. Coordinate executive governance, improve operational processes, embed AI-enabled productivity tools, drive stakeholder communication and change management, and strengthen the Business Impact team to ensure measurable outcomes and consistent execution.

Partner with business functions to design, build, and deploy AI-powered low-code solutions (Copilot, Claude). Lead end-to-end delivery, integrations, reusable components, compliance (EU AI Act, GDPR), adoption, and proof-of-concept assessments.

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.

Deploy and customize ICEYE's intelligence platform in secure, often air-gapped environments. Build containerized deployments, RAG systems, agent workflows, data-fusion pipelines, and lightweight dashboards. Work embedded with analysts and military operators to prototype AI solutions, train users, and translate feedback into product requirements.

The Senior Python Engineer will design, develop, and maintain internal AI-driven tools, APIs, and workflows, focusing on automation and system integrations to enhance efficiency at Capital.com.

Design, build, and maintain production AI workflows integrating HR, Finance, Operations, and CRM. Implement orchestration, agents, prompts, retrieval pipelines, and evaluation/monitoring to ensure reliable, auditable decision-making. Iterate on model behaviour using feedback and metrics, partner with Data Engineering on infrastructure, CI/CD, and governance, and own decision quality and outcomes.

The Test Lead will drive QA and validation strategy for AI solutions in a regulated industry. Responsibilities include defining testing strategies, executing tests, coordinating with client teams, and managing test data and environments.

Perform remote, part-time data tasks to improve AI Polish content: collect, evaluate, annotate data; perform pairwise comparisons, counting, object tagging and labeling across audio, video, images and collected data.

As an AI Product Manager, you will identify AI-driven solutions, manage product roadmaps, develop Go-To-Market strategies, and drive adoption of AI products across InPost Group.

As an AI Inference Engineer, you will optimize C++ systems for AI model inference on edge devices, collaborating with researchers to deploy and enhance models while ensuring runtime stability and performance.

The AI Playable Ads Developer will create interactive ads, optimizing them for user experience while collaborating with various teams to enhance AI-based tools.