Top Artificial Intelligence Jobs in Warsaw

Design, build, and productionize AI/ML solutions within the Workday practice. Collaborate with data scientists and engineers to deploy scalable models, implement MLOps (CI/CD, versioning, monitoring), integrate with enterprise data systems and cloud platforms, and ensure reliability and performance of AI-driven features.

Lead AI-driven visual production for performance marketing, creating photorealistic human and lifestyle imagery, iterating on creatives using data, collaborating with marketers and editors, and integrating AI outputs into design pipelines to improve conversion rates.

Lead end-to-end architecture for enterprise data, analytics, and AI in a Microsoft-first environment. Translate business needs into secure, scalable designs, prototype and guide delivery teams, ensure governance, security, and production readiness, and enable enterprise AI (Azure OpenAI, RAG) and BI (Power BI) solutions.

Lead go-to-market for an AI accounting automation platform: define target segments, run lead-generation campaigns, create sales and marketing materials, shape product positioning, build brand presence in the Polish accounting and SME ecosystem, and track GTM metrics to iterate quickly.

Lead enterprise growth across top European law firms and corporate legal departments, manage retention and expansion through a team of Retention Managers, oversee digital revenue and e-commerce channels, coach cross-border account executives, negotiate high-value enterprise agreements, and present commercial strategy to executive leadership.

Build and maintain a Google Cloud data analytics platform: design architectures, implement cloud-ready IaC solutions (Terraform), automate deployments (Docker, Kubernetes, CI/CD), manage monitoring/alerting, support tenants and provide on-call assistance while collaborating on design and experiments.

Lead product vision and roadmap for an AI shopping assistant, prioritize ML use cases, design validation experiments, own evaluation metrics and feedback loops, define consumer go-to-market, and drive cross-functional delivery with engineering and business teams.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Design and lead end-to-end AWS architectures for enterprise AI/GenAI projects, run discovery and Well-Architected reviews, define IaC standards, advise on data and security architecture, support presales, and mentor engineering teams to deliver production-grade AI solutions.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

Lead architecture and delivery for Fortives HR technology ecosystem, owning Oracle HCM, Boomi integrations, ServiceNow HRSD, Eightfold and LMS platforms. Define API-first integration patterns, implement AI/automation use cases, ensure data governance and compliance, and guide integration engineers while partnering with HR and IT stakeholders to modernize HR systems.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Create short- and long-form AI-generated educational and entertainment content for Instagram, TikTok, and YouTube. Rapidly test content hypotheses, analyze performance, research trends and competitors, and iterate on hooks, storytelling, and editing. Collaborate with the product team and continually experiment with AI image/video generation and editing tools.

The Senior ML Engineer will create and improve ML models, collaborate with teams, monitor models in production, and maintain documentation.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

Serve as embedded technical lead to design, build, and demo production-grade agentic AI solutions for slot/casino game production. Deliver prototypes on real game stacks (math engine, backend, client), create transferable agentic harnesses/loops, own model selection, deployment, cost/monitoring, and lead knowledge transfer and client-facing technical engagement.

Lead strategy and delivery of enterprise AI and intelligent automation programs. Identify high-value use cases, design and deploy RPA and AI/ML solutions, build automation roadmaps and governance, drive cost savings and ROI, integrate automation into transformation programs, and mentor teams while advising senior stakeholders and clients.

Design and scale GTM systems and AI-powered workflows across sales, marketing, and product. Build agents, integrate Salesforce/HubSpot, turn product and user data into growth signals, create lead-scoring/routing/onboarding flows, identify bottlenecks, run experiments with founders to drive measurable revenue impact.

Own and evolve ShiftKey's AI infrastructure: organizational knowledge platform, retrieval and indexing (semantic RAG + re-ranking + HyDE), agentic cloud infrastructure on AWS, graph-based retrieval design, platform APIs, reference agent implementations, and AI cost/governance and observability for production-scale regulated (HIPAA) workflows.

Senior technical leader defining architecture and delivery of AI/GenAI and data platforms across supply chain and enterprise digital. Build and operate lakehouse, model lifecycle, CI/CD, model serving, vector search, governance, and compliant validated releases. Mentor engineers, set engineering standards, integrate SAP and enterprise data, and ensure security, GxP compliance, observability, and cost-efficient production solutions.

Lead enterprise-wide Data & AI architecture for cross-domain initiatives, define target architectures and digital guardrails, govern AI adoption, advise senior leadership on technology trade-offs, and ensure reusable, scalable AI and data products across Pharma and Diagnostics.

Lead AI adoption and enablement for engineering teams via workshops, training, demos, and pair-programming. Design and implement AI-augmented SDLC workflows, evaluate AI tools and agents, create playbooks and best practices, and advise engineering leaders combining strategic consulting with hands-on technical delivery.

Build and deploy AI-native systems for BJAK's neobank: AI agents, RAG/retrieval systems, tool-calling and automations for onboarding, KYC, support, risk, CRM and operations; work with product and engineering to ship reliable, evaluated, low-latency, cost- and compliance-aware AI-enabled workflows.

Lead technical design and delivery of Data & AI systems: architect data pipelines, RAG and agent integrations, build FastAPI backend services in event-driven environments, use AI-assisted coding, mentor engineers, own production reliability, and coordinate cross-functional delivery from design through rollout and post-release operations.