Top Artificial Intelligence Jobs in Romania

Regional Sales Engineer responsible for serving Polish customers and prospects, demonstrating cybersecurity solutions, explaining complex security challenges, and acting as the technical bridge between sales, marketing, support, engineering, and customers. The role requires expertise in endpoint and network security, strong presentation skills, English and Polish fluency, AI technology experience, and the ability to travel. Bonus experience includes malware analysis, threat intelligence, scripting, cloud platforms, virtualization, and security certifications.

Twelve-month development program supporting project forecasts, financial planning, performance monitoring, variance analysis, governance reporting, and management reviews. The role coordinates information across project management, delivery, and finance teams, prepares data-driven reports, and contributes to automation and AI-enabled improvements. Candidates should be analytical, organized, collaborative, and interested in project and financial performance management.

Enterprise Account Executive role focused on building new business across EMEA. Responsibilities include developing territory sales strategies, acquiring enterprise customers, exceeding new-logo quotas, managing complex consultative sales cycles, engaging C-level decision-makers, negotiating contracts, partnering with marketing and pre-sales, and developing partner go-to-market strategies. The role requires enterprise SaaS sales experience, technical platform selling expertise, and proficiency with Salesforce, Clari, and MEDDPICC.

Manage EMEA business-critical deal pipelines and revenue-processing functions. Advise sales and partner teams on complex, transformational deals; identify risks, improve compliance, and ensure timely, accurate processing. Coordinate cross-functional resolution with Legal, Finance, Credit, Contracts, and Operations. Lead quarterly planning, fiscal-close reviews, performance improvements, and communications across a multinational matrixed organization while using analytics and continuous improvement to maximize revenue realization.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Leads customer success planning and execution for Microsoft customers, aligning stakeholders, technology investments, and business priorities. Builds trusted advisor relationships, orchestrates Microsoft and partner teams, drives cloud adoption and AI transformation, manages customer risks and dependencies, and measures value realization. Requires customer-facing success, consulting, solution delivery, practice management, or portfolio management experience, relevant certifications, and German proficiency.

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.

Own product strategy, roadmap, discovery, execution, launches, and performance metrics for manufacturing-focused products. Collaborate across product, firmware, cloud, UX, engineering, and business teams to translate customer and shop-floor needs into impactful solutions. Focus areas include production insights or hardware, firmware, data capture, and IoT connectivity. The role requires strong product management, customer discovery, analytics, communication, and cross-functional leadership skills, with relocation to Copenhagen and eligibility for a Danish work permit.

Leads strategic account planning, complex sales execution, pipeline and cloud revenue growth, executive stakeholder relationships, and account governance. Mentors account executives, coordinates cross-functional teams and partners, aligns SAP cloud solutions with customer goals, and drives customer success and lifetime value. The role also applies AI-enabled selling, stakeholder engagement, automation, prototyping, and adoption practices.

Work closely with company founders to execute go-to-market strategies, improve operational processes, grow client and partner communities, and implement AI-driven solutions. The role involves managing go-to-market pipelines end to end, coordinating cross-functional initiatives, and adapting within a fast-paced startup environment.

Supports immigration matters by preparing and filing petitions, assisting with U.S. talent visa processes, researching immigration laws and regulations, and collaborating with cross-functional teams on legal compliance. The role suits an organized, adaptable paralegal with immigration documentation experience who is interested in contributing to an AI-driven startup law firm serving international teams.

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.

Build and operate production-grade agentic AI systems and backend microservices for Charlotte AI and Agentic SOC products. Responsibilities include LLM integrations, agent orchestration, model evaluation, MLOps pipelines, inference scaling, security safeguards, observability, and production reliability. The role provides technical leadership, architecture direction, mentoring, and cross-functional collaboration while remaining hands-on with code.

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.

Leads client application and technology strategy reviews, evaluates AI and emerging technology adoption, assesses architectures, infrastructure, data flows, security, and development practices, and recommends improvements. The role engages senior stakeholders, produces technical guidance, supports sales proposals, and promotes value-added services. Candidates need architecture experience, cloud software delivery expertise, programming and technology breadth, hands-on generative AI integration experience, Agile knowledge, and strong communication and collaboration skills.

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.

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.

Develops and deploys machine learning and AI solutions across the full data science lifecycle. Responsibilities include exploratory data analysis, model experimentation, scalable data pipelines, evaluation methodology, visualization, deployment monitoring, and custom algorithm development. The role collaborates with engineering, product, and business stakeholders to solve product problems and communicate analytical findings. Preferred experience includes MLOps, A/B testing, causal inference, unstructured data, cloud platforms, real-time processing, and advanced machine learning techniques.

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.

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 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.

Lead end-to-end product backlog for procurement interoperability and orchestration across source-to-pay. Design integration and data alignment across procurement platforms, run stakeholder workshops, translate demand into user stories and releases, manage E2E testing, rollout and BAU transition, and embed AI-driven automation and prompt-driven workflows to improve efficiency.

Supports property and casualty insurance and reinsurance operations through operational reporting, KPI and SLA monitoring, data-quality management, controls, issue investigation, stakeholder coordination, and continuous improvement. The role contributes to process automation, AI use cases, business and technology change initiatives, user onboarding, governance, audit support, and operational resilience across Underwriting, Finance, Claims, Data, and Technology teams.

Owns product vision, roadmap, strategy, and prioritized backlog for sustainability automation products in Private Bank Germany. Partners with business stakeholders, architects, program managers, and engineering teams to define requirements, deliver value through Agile practices, drive adoption, and support scaled Agile transformation. Provides domain guidance on sustainability, financial services, testing standards, data products, and responsible AI use.