Top Artificial Intelligence Jobs in Bucharest

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.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

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.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Lead management and optimization of Crayon and Clozd platforms, integrate them with CRM and sales enablement systems, drive cross-functional adoption, execute win-loss programs, monitor platform metrics, and deliver actionable competitive and buyer insights to improve win rates and product roadmaps.

Lead short-term AI adoption program: build internal AI champions, create usage policies and training, support teams implementing AI tools, contribute to internal AI tool builds, and ensure responsible, secure deployment across distributed teams.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will optimize model serving and inference architectures, focusing on high-performance, resource-efficient solutions for AI systems across various deployment environments.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Develop and maintain ETL/ELT processes, data platforms, and big-data pipelines that feed live European operations. Treat data as production code, enable data modeling and orchestration, and can grow into ML engineering within an AI track.

Develop, deploy, and maintain machine learning models for operational defence and security systems. Work with data science teams to produce production-grade models using Python, SQL and ML frameworks, apply model deployment and MLOps practices, and integrate models into mission-critical systems.

Responsible for designing and maintaining an AI orchestration platform, overseeing AI solutions' integration, governance, and continuous improvement in collaboration with various stakeholders.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

Lead definition and governance of global enterprise technology architecture to create secure, resilient, and AI-ready platforms. Design cross-environment infrastructure (on‑prem, hybrid, multi‑cloud, edge), enforce architecture standards and guardrails, assess AI workload readiness, drive migration and modernization roadmaps, reduce technical debt, and provide architectural direction, coaching and stakeholder alignment across security, DevOps, vendors and business teams.

Design, build, deploy, and maintain ML/DL models and AI agents; productionize prototypes, integrate AI into enterprise systems, provide 3rd-level support, follow ITSM processes, and ensure ethical and regulatory compliance while collaborating with cross-functional stakeholders.

Evaluate AI-generated coding interactions end-to-end, judging usefulness, high-level correctness, engineering judgment, and quality of explanations. Provide clear, opinionated feedback, distinguish response quality levels, and help define best practices for AI-assisted developer workflows.

Sell Libra AI to Romanian small/mid-size law firms and in-house legal teams. Manage full sales cycle from inbound/outbound prospecting to demo, negotiation, and close. Collaborate with Legal Engineering, Customer Success, and Marketing to tailor demos, onboard customers, maintain pipeline, and meet ARR targets using data-driven outreach and sales methodologies.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Define technical vision and roadmap for the Ask.ai platform, select models and infrastructure, set standards and governance, coordinate AI engineers and contributors, design integrations and platform architecture, ensure security and data privacy, and provide technical mentorship and reusable components to accelerate AI solutions across teams.

Lead design and implementation of agentic workflows, multi-agent collaboration and AI-to-AI systems. Drive R&D in explainable AI, federated learning and privacy-preserving techniques, integrate AI solutions into core platforms, mentor junior engineers, and ensure ethical AI practices.