Top Artificial Intelligence Jobs in Warsaw

Participate in an AI and MLOps internship delivering software, data pipelines, infrastructure-as-code, backends, and user interfaces. Collaborate on Generative AI solutions, contribute to client-facing business decisions, and gain experience in project management and team leadership. Use technologies including Docker, Terraform, AWS, FastAPI, LangChain, and Spark while developing cloud, machine learning, big data, and LLM expertise.

Build and operate Snowflake’s Cortex AI Functions platform, enabling scalable AI inference through SQL. Responsibilities include designing distributed backend systems, implementing high-throughput services, managing concurrency and failures, developing APIs, improving reliability and observability, supporting production rollouts, collaborating with research and product teams, and mentoring engineers.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

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.

Writes high-quality long-form content on AI, enterprise technology, infrastructure, and related topics. Responsibilities include researching complex subjects, developing original narratives, producing articles, whitepapers, reports, case studies, website content, and thought leadership, and adapting content for technical and executive audiences. The writer collaborates with subject-matter experts, marketing, and SEO teams while editing for accuracy, clarity, originality, and readability.

Review and annotate images by identifying people, actions, and predefined categories. Follow detailed annotation guidelines, maintain accuracy and consistency, review completed work, and help create high-quality datasets for AI models. The role requires strong attention to detail, independent work, reliability, and EU citizenship with residence in the European Union.

Lead the Agentic Discovery product chapter, initially owning business tooling, dashboards, transparency, and controls for AI-powered commerce experiences. Define strategy, align ML, engineering, design, and go-to-market teams, scale experimentation, launch reliable LLM-powered experiences, and establish metrics tied to usage, conversion, revenue, and engagement. The role will expand to chapter-wide leadership across on-site, offsite, and integrated agentic discovery surfaces.

Provide technical support for Workday’s enterprise platform and AI agent workflows. Responsibilities include incident resolution, root-cause analysis, cloud and ML pipeline troubleshooting, SQL and log analysis, AI conversation and LLM output evaluation, queue triage, SLA management, customer escalations, and collaboration with engineering and data science teams. The role includes weekend on-call rotations and requires translating technical issues into clear customer communications.

Own the technical direction and implementation of authentication, authorization, and on-behalf-of delegation for Redpanda’s agentic AI platform. Extend its OAuth authorization server and token vault, build auditable delegation systems, and federate with enterprise identity providers such as Okta, Entra, and Ping. Lead technical decisions across multiple engineering teams, track emerging agent identity standards, collaborate with security and product teams, mentor engineers, represent technical positions externally, and deliver production-hardened systems.

Design and optimize model-serving architectures and inference pipelines for high-throughput, low-latency AI performance on mobile, edge, and GPU-cluster environments. Develop custom GPU kernels and Metal shaders, benchmark production systems, diagnose computational and memory bottlenecks, and implement techniques including parallelism, quantization, pruning, FlashAttention, KV caching, and speculative decoding. Collaborate cross-functionally to integrate scalable inference solutions and continuously improve performance.

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.

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.

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.

Own the end-to-end improvement loop for Elastic’s Context Engine, including agent behavior, evaluations, telemetry, experimentation, safe rollout, and production code. Build and operate AI agents, retrieval tools, memory, APIs, stateful workflows, and data pipelines. Partner with data scientists, engineers, product, and UX to diagnose failures, measure outcomes, evolve public contracts, mentor engineers, and shape the technical roadmap.

Leads AI initiatives across Sanoma Learning, coordinating communications, thought leadership, partnerships, M&A opportunities, and cross-functional projects. The role translates technical AI work for business and public audiences, manages newsletters, webinars, content, external opportunities, partner funnels, and executive forums. It requires strong project management, stakeholder coordination, AI understanding, written communication, and the ability to structure ambiguous work across multiple countries and functions.

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.

Develop AI and predictive analytics solutions for R&D master data using Python, PySpark, SQL, Azure, and Databricks. Prepare and analyze complex datasets, identify data-quality issues, create AI proof-of-concepts, translate business needs into technical requirements, and support Power BI dashboard development. Ensure solutions meet data-governance and GxP standards while supporting master-data management activities in collaboration with technical and business stakeholders.

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.

Build and enhance RAG systems, AI components, backend services, data pipelines, and REST APIs under senior guidance. Write production code, tests, evaluation harnesses, documentation, and runbooks. Support AWS deployment, containerization, CI/CD, model evaluation, monitoring, and failure-mode investigation. The role offers increasing ownership of architecture, technical decisions, and client delivery across distributed teams.

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.

Lead a small engineering team building and shipping AI-powered SaaS features. Set technical direction, establish standards for observability, testing, security, scalable architecture, and AI evaluation, while managing delivery timelines and team development. Remain hands-on by designing and implementing production AI systems using LLMs, embeddings, RAG, vector databases, and related tooling. Partner with Product and leadership on prioritization, architecture, resourcing, and risk management.

Write addictive 1–3 minute AI-generated micro-drama episodes and complete series arcs for women aged 35–55. Create strong hooks, emotional stakes, cinematic scenes, and cliffhangers using Claude, GPT, and other AI tools. Test formats, analyze performance data, identify plot holes and continuity issues, and provide feedback on final episodes. The role is fully remote and requires native-level English, visual storytelling ability, and strong attention to detail.