Top Artificial Intelligence Jobs in Poland

Own an AI neobank product vertical end to end, including strategy, roadmap, metrics, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI finance product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. The role requires shaping reliable systems for payments and other regulated financial products, incorporating compliance, security, reconciliation, failure handling, scalability, and third-party integrations. The lead applies AI and LLMs selectively with evaluation, safeguards, human oversight, and reliability controls while aligning engineering, design, compliance, operations, treasury, and finance.

Own an AI investing product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Integrate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Lead the architecture and production delivery of AI agents and intelligence systems for payments. Build reliable, low-latency LLM applications with tool use, orchestration, memory, RAG, multilingual conversations, evaluation, observability, and safety guardrails. Develop merchant intelligence and AI operations automation, mentor engineers, establish technical direction, and collaborate across Product, Data Science, and engineering teams in a compliance-sensitive global environment.

Own an AI investing product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a technical product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements across KYC, transaction monitoring, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI-driven financial product vertical end to end, including strategy, metrics, backlog, technical design, money-movement correctness, regulatory requirements, and launch readiness. Partners with engineering, compliance, operations, treasury, finance, and design to balance reliability, security, scalability, cost, and user experience. Defines responsible AI use, evaluation methods, human oversight, and failure handling while ensuring financial data is accurate and user-facing features are trustworthy.

Integrate and maintain third-party carrier inventory across platform tools and integration modes. Identify repetitive onboarding and inventory tasks, then replace them with scripts, workflows, no-code automation, and AI solutions. Use data to identify automation opportunities and measure impact, maintain data quality, troubleshoot technical issues with engineers, and improve partner and customer experiences in a cross-functional international team.

Lead new customer acquisition and strategic expansion across EMEA for Mirantis’ AI infrastructure solutions. Own the full sales cycle, develop territory strategies, build executive relationships, conduct technical discovery, design tailored infrastructure solutions, prepare statements of work, address technical objections, and negotiate complex commercial agreements. Partner with Sales Engineering and internal teams to develop business cases, influence product direction, and close enterprise SaaS and cloud infrastructure deals.

Develop, deploy, and maintain scalable AI/ML pipelines and production models, including LLMs and generative AI. Optimize model performance, latency, and cost across AWS, GCP, and Azure. Apply MLOps practices such as CI/CD, versioning, monitoring, logging, and maintenance. Collaborate with data scientists, software engineers, solution architects, and cross-functional teams to integrate AI capabilities into products and workflows.

Own product areas within AI stockbroking and broader financial services, defining user problems, product direction, roadmaps, metrics, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, and performance data to launch features, monitor outcomes, and drive continuous improvement while balancing speed, user experience, business impact, compliance, and operational complexity.

Lead a 10–15-person multidisciplinary AI engineering team and own the Group-wide AI Engineering strategy. Build AI-native products and backend platforms, establish development standards including CI/CD with evaluations and test sets, guide multi-agent and streaming workflows, improve architecture and engineering processes, and partner with product, data, vendors, and technology stakeholders. Responsibilities also include hiring, team development, budgeting, and influencing AI product direction across the organization.

Owns an AI-focused financial product vertical end to end, including strategy, metrics, prioritization, technical design, money-movement correctness, regulatory requirements, and launch readiness. Partners with engineering, design, compliance, operations, treasury, and finance to make trade-offs and ship reliable products. Defines appropriate AI use, evaluation methods, human oversight, and failure handling while ensuring financial data is accurate and users are not misled.

Lead product direction, roadmaps, standards, metrics, execution, and quality for major areas of KIRA’s AI stockbroking app. Guide PMs, product owners, designers, and engineers across multiple squads while balancing user experience, data, engineering, business, regulatory, and operational constraints. Drive launches, post-launch learning, continuous improvement, and a high-velocity product culture across financial services.

Lead product direction, strategy, roadmaps, standards, and success metrics for major areas of KIRA’s AI Investing App. Guide PMs, product owners, designers, and engineers across multiple squads; balance regulatory, operational, UX, data, engineering, and business constraints; drive launch quality and continuous improvement across financial services including insurance, payments, savings, investing, and travel.

Lead product direction, roadmap, standards, and success metrics for major areas of KIRA’s AI Neobank App. Guide PMs, product owners, designers, and engineers across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Balance regulatory, operational, user experience, data, engineering, and business considerations while driving launch quality, post-launch learning, and continuous product improvement.

Lead product direction, roadmaps, standards, metrics, execution, and quality across major AI finance app areas and multiple squads. Guide PMs, product owners, designers, and engineers while balancing strategy, UX, data, engineering, business, and regulatory constraints. Drive launches, post-launch learning, continuous improvement, and a high-velocity product culture across financial services including insurance, payments, savings, investing, and travel.

Own product areas for KIRA’s AI Stockbroking App and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, research, feedback, and production insights.

Own product areas for KIRA’s AI neobank app across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to launch, measure, and improve products. Simplify complex financial journeys while balancing speed, usability, business impact, compliance, and operational complexity.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, and performance data to make decisions, launch features, monitor results, and drive continuous improvement while balancing speed, user experience, business impact, compliance, and operational complexity.

Leads global privacy and AI legal matters for a SaaS employment platform. Advises Product, Engineering, Security, and business teams on privacy by design, AI governance, data protection, workforce data, incidents, regulatory compliance, vendor reviews, transfers, and contract terms. Builds scalable policies, controls, templates, training, and customer-facing trust materials while monitoring global privacy and AI regulations.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product direction, scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use research and performance data to guide decisions, ship quickly, and continuously improve products while balancing customer experience, business impact, compliance, and operational complexity.

Own AI Investing product areas across financial services, defining user problems, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, metrics, and production insights to launch features, monitor performance, make trade-offs, and drive continuous iteration with high ownership.

Own product areas for KIRA’s AI Stockbroking and broader financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; use research, feedback, metrics, and production issues to improve decisions; launch features, monitor performance, and drive iterative improvements while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use data, research, feedback, and production insights to launch, measure, and continuously improve products.