Top Artificial Intelligence Jobs in Romania

Senior Commercial Counsel will negotiate enterprise sales, partnership, vendor, services, data licensing, and marketing agreements. The role advises on privacy, intellectual property, data security, AI law, and cross-border data transfers across the UK/EU and APAC. Responsibilities include building scalable legal processes, supporting sales and business development, managing international regulatory issues, and translating evolving AI legal developments into practical guidance for a fast-growing company.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Leads product strategy, roadmap, lifecycle ownership, adoption, and measurable outcomes for a greenfield enterprise AI platform. Defines platform boundaries, governance controls, evaluation, registration, and cost-tracking capabilities while translating evolving risk, privacy, security, and GxP requirements into usable product features. Partners with engineering, design, legal, compliance, risk, security, and global agent-building teams to prioritize investments, guide delivery, communicate direction, and drive platform adoption.

Own the full enterprise sales cycle for AI and MarTech solutions, from prospecting through contract negotiation and closing. Build relationships with high-value customers, lead discovery and value-based conversations, exceed revenue and logo targets, and drive account expansion and ongoing success. Collaborate across sales, marketing, product, and other teams while representing customer needs and informing the product roadmap.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Own product direction, roadmap, prioritization, discovery, delivery, launches, and performance outcomes across manufacturing technology products. Collaborate with firmware, cloud, UX, engineering, operators, and business stakeholders to translate customer needs into shipped products. Focus areas include production insights, scalable platforms and integrations, or hardware, firmware, and IoT data capture. Use customer research, analytics, and continuous iteration to improve factory-floor outcomes.

Originate and negotiate long-term revenue agreements for battery energy storage and hybrid renewable assets across Southeast Europe. Build relationships with offtakers, asset owners, developers, and IPPs; structure and price tolling, vPPA, floor, and route-to-market deals; manage transactions through contractual close; develop new market structures; contribute to regional market strategy; and represent Capalo AI at industry events.

Lead Chainguard’s European government affairs and public policy strategy across the UK and Europe. Engage regulators, governments, standards bodies, and industry coalitions; develop policy positions and consultation responses; translate cybersecurity regulations into product, positioning, and customer implications; and establish a scalable policy function. The role requires senior stakeholder engagement, technical policy communication, frequent regional travel, and eventual team-building responsibility.

Leads enterprise Databricks Lakehouse data engineering standards, including 3NF and warehouse modeling, semantic integration, performance tuning, governance, reusable libraries, and cost optimization. Serves as the senior engineering authority across global teams, supports ML/AI and LLM integrations, reviews architecture and quality, develops engineering standards, and coaches data engineers. Requires substantial experience designing large-scale data, analytics, semantic, and advanced analytics layers across international teams.

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.

Write and edit high-quality long-form content about AI, enterprise technology, infrastructure, and related topics. Research complex subjects, develop original viewpoints, and create articles, whitepapers, reports, case studies, thought-leadership pieces, website content, and marketing assets. Translate technical concepts into compelling narratives for technology leaders, IT professionals, business audiences, and executives. Collaborate with subject-matter experts and marketing and SEO teams while adapting content to different formats and audiences.

Supports People & Values operations by improving employee lifecycle processes, administering HR systems, maintaining documentation and policies, implementing automation, and managing contingent workforce contracts. The role partners with Talent Acquisition, Legal, Finance, and internal stakeholders to improve onboarding, ensure compliance, maintain data integrity, and deliver scalable employee experiences.

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.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

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.

Analyzes channel and business processes, identifies inefficiencies, gathers cross-functional requirements, and helps implement automation, AI, and integrated technology solutions. Conducts data analysis, facilitates stakeholder meetings, monitors solution effectiveness, and recommends process improvements. The role supports Channel growth within Honeywell’s Industrial Automation business and requires collaboration across systems, data, and functional teams.

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.

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Leads a team researching and evaluating AI, LLM, and agentic systems for cybersecurity workflows. Defines evaluation strategies, benchmark datasets, metrics, methodologies, and reproducible testing pipelines grounded in SOC operations. Assesses model accuracy, robustness, reliability, and operational effectiveness across incident response, threat hunting, alert triage, and investigations. Partners with engineering, product, and threat research teams to translate findings into improvements and communicates results to technical and executive stakeholders.

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.

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.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Lead the design and implementation of Procurement Operations target operating models, improving end-to-end source-to-pay processes, controls, user experience, workflow, automation, data, and AI capabilities. Translate procurement needs into technology and operational requirements, define ownership and business rules, coordinate with technology, risk, data, and change teams, support adoption, and drive performance measurement and continuous improvement across global procurement services.

Leads the design, implementation, and continuous improvement of procurement operations and target operating models. Reviews source-to-pay processes, defines business rules and requirements for workflow, automation, data, and AI solutions, and coordinates with technology, risk, control, and change teams. Establishes performance measures, supports adoption, and owns sustainable business-as-usual operations while driving service quality, controls, and stakeholder alignment.