Top Artificial Intelligence Jobs in Krakow

Develop Responsible AI governance tooling, technical guardrails, risk assessments, MCP scanners, and compliance automation for AI systems and agents. Build production-grade software integrated with CI/CD pipelines, support OSS compliance workflows, improve security and reliability, and translate governance requirements into engineering solutions. The role also involves technical documentation, training, stakeholder communication, and establishing organization-wide Responsible AI practices.

Lead Salesforce product initiatives supporting global sales teams. Translate seller and sales operations needs into requirements, roadmaps, business processes, and Salesforce solutions. Gather cross-regional feedback, oversee implementation and rollout, improve adoption, support reporting, and coordinate training and communications. Partner with sales, IT, architects, and technical teams while evaluating AI, machine learning, and new Salesforce capabilities to reduce administrative burden and improve business impact.

Develop a pro-human strategy for AI emphasizing controllable, verifiable, human-centered systems. Track efficient models, open-source AI, robotics, and industrial applications; engage international policymakers and stakeholders; build coalitions; and translate technical strategy into policy recommendations. The role requires strong AI technical fluency, policy engagement experience outside the US and China, excellent communication, stakeholder management, and independent strategic leadership.

Business Analyst responsible for Market Risk data quality, end-to-end data lineage, process re-engineering, and AI/GenAI automation. The role analyzes data flows, change impacts, controls, and documentation while supporting FRTB and BCBS239 governance. Responsibilities include requirements gathering, process mapping, user stories, stakeholder management, and UAT coordination across Risk, Operations, Finance, and Technology teams.

Own central FP&A at a high-growth AI company, including the driver-based company model, budgeting, reforecasts, monthly reporting, board materials, and capital allocation analysis. Build planning processes in Pigment, consolidate inputs across functions, and provide actionable financial recommendations to executives and the board. The role requires hands-on financial modeling, commercial judgment, unit economics expertise, planning-tool experience, SQL, and data warehouse fluency.

Design and maintain scalable data pipelines, connectors, and reusable data products to make enterprise data AI-ready. Enable RAG, semantic search, agentic workflows, and production deployment of AI solutions while enforcing data quality, governance, metadata, security, and cross-team collaboration.

Lead AI Value Analyst responsible for building and maintaining business cases for AI initiatives, estimating and tracking benefits, and reporting ROI. Partners with stakeholders, Finance, and AI CoE to quantify productivity, cost, revenue, and risk impacts, prioritize opportunities, validate data and assumptions, and produce dashboards and presentations to communicate realized value and governance across the AI portfolio.

Build and lead production LLM systems, including agentic workflows, content enrichment, retrieval, semantic search, evaluation, observability, and safety guardrails. Own architecture decisions across model selection, prompting, fine-tuning, latency, cost, and quality. Partner with Product and UX to ship AI features, mentor engineers, lead technical reviews, and establish reusable LLM development practices.

Own the lifecycle of AI products by translating business priorities into executable roadmaps, partnering with engineering and design, driving delivery, and incorporating user feedback. Lead client demonstrations, define and evaluate product metrics, coordinate cross-functional teams, and align product development with broader innovation strategy. The role requires strong product management, leadership, communication, analytical, agile, and user research skills.

Lead CitizenGO’s advocacy campaigns in Poland, including researching issues, developing strategy, writing and translating communications, mobilizing supporters, and coordinating online and offline actions. Build coalitions with organizations, engage media and influencers, represent the organization publicly, manage petitions and campaign workflows, monitor website language accuracy, and support staff and AI-enabled processes. The role is remote with flexible hours but requires monthly travel for in-person events.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Design, build, and maintain complex Android applications, frameworks, libraries, and SDKs. Lead features through architecture, development, testing, release, observability, and support. Use AI coding agents responsibly across mobile and adjacent systems, while ensuring security, performance, accessibility, and quality. Improve architecture, modularization, CI/CD, automation, testing, and developer tooling. Provide technical leadership through design reviews, investigations, refactoring, mentoring, and cross-functional collaboration.

Build and deploy real-time voice and video AI models, including speech-to-speech, multimodal, and audiovisual systems. Adapt and fine-tune pretrained models, develop evaluation and data pipelines, optimize GPU inference for latency and cost, and deliver production features across backend APIs, databases, and customer portals. Own projects end to end while using coding agents and development harnesses to improve implementation, testing, debugging, and review.

Leads OKX’s global marketing compliance function, building policies, controls, review and approval processes, monitoring programs, and regulatory change management for advertising, promotions, social media, influencers, affiliates, and product launches across CeFi and DeFi. Partners with Marketing, Product, Legal, Risk, and Compliance teams; manages incidents, supports audits, delivers training, and scales the compliance team and framework.

Design and deploy AI-driven features, autonomous agents, and scalable workflows for Cisco Webex Partner Hub. Build production systems using LLMs, vector databases, and agentic frameworks; establish standards for evaluation, prompt engineering, reliability, security, latency, and cost efficiency. Collaborate with product and data science teams, evaluate emerging AI technologies, architect cloud-based platforms, and mentor junior engineers while guiding technical initiatives.

Design, build, test, and maintain native mobile applications, frameworks, libraries, and SDKs. Lead features through architecture, implementation, release, observability, and support. Use AI coding agents responsibly across mobile and adjacent systems, while ensuring quality, security, performance, accessibility, and maintainability. Establish testing, CI/CD, automation, and documentation practices; lead technical discussions and investigations; mentor engineers; and collaborate with product, design, security, and engineering teams.

Own the technical direction for validating AI agent-generated software. Build prototypes and platform systems that identify gaps between passing tests and working features, provide mid-loop feedback for agent self-correction, and support trusted development across Rust, Ruby, and Go. Collaborate with engineering teams to drive adoption, measure trust and validation quality, establish architecture, review designs, and mentor teammates in a remote asynchronous environment.

Lead the engineering function on a remote consulting mission by setting technical direction, managing and mentoring engineers, driving the roadmap, overseeing complex delivery, improving engineering practices, and partnering with product and business stakeholders. The role requires hands-on technical leadership, architectural judgment, agile expertise, and evaluation of emerging technologies including cloud, AI, and blockchain.

Lead the engineering function for a growing technology company on a renewable consulting mission. Responsibilities include setting the engineering roadmap, managing and mentoring engineers, guiding architecture and technical decisions, leading complex projects, improving engineering practices, and collaborating with product and business stakeholders. The role requires hands-on technical involvement, strong software engineering expertise, and the ability to evaluate emerging technologies including cloud, AI, and blockchain. French fluency and strong English communication skills are mandatory.

Executes and scales an agentic AI prompting framework across business use cases. Develops and maintains prompts, coordinates testing and defect remediation, manages iteration cycles, and integrates AI capabilities into business-as-usual operations. Creates procedures and runbooks, coordinates training, manages the prompting backlog, and partners with product, delivery, technology, and operations teams. Tracks quality, adoption, and scale-up progress while feeding lessons learned into continuous improvement.

Design end-to-end UX solutions for complex, mission-critical public safety systems. Create AI-assisted prototypes, evaluate emerging design tools, modernize UX workflows, and validate human-AI interaction patterns through research and usability testing. Collaborate with product managers, developers, data scientists, researchers, and subject matter experts while designing for trust, uncertainty, automation boundaries, and human-in-the-loop experiences.

Leads Danaher’s global AI Engineering, Integration and Operations organization, converting AI prototypes and capabilities into secure, scalable, production-grade solutions. Responsibilities include establishing engineering and operational practices, leading multidisciplinary teams, partnering with product and governance leaders, planning engineering capacity, and ensuring reliable deployment, support, adoption, and continuous improvement of enterprise AI solutions.

Design, build, and deploy AI and Generative AI solutions, including LLM applications, chatbots, intelligent automation, agent workflows, and RAG pipelines. Develop production prompt engineering strategies, integrate AI models with cloud applications and APIs, and evaluate emerging AI tools and frameworks. Collaborate with international clients to deliver scalable, responsible AI systems.

Build multi-agent systems, optimize prompt engineering strategies, integrate LLMs and AI models into cloud applications and APIs, implement agentic workflows, and research emerging AI tools. The role requires developing RAG architectures, knowledge bases, vector database solutions, responsible AI safeguards, and production-grade Generative AI applications while collaborating with clients and technical teams.

Architects and scales enterprise-grade generative AI systems using LLMs, autonomous agents, retrieval architectures, and cloud-native platforms. Designs orchestration workflows, improves performance and accuracy, establishes security and governance standards, develops reusable SDKs and agent assets, and guides engineering teams. Provides technical leadership, mentors engineers, and evaluates emerging AI technologies for scalable enterprise adoption.