Top Artificial Intelligence Jobs in Bucharest

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.

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.

Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.

Senior Finance Analyst responsible for automating Sales and Orders reporting, developing Power BI dashboards, performing margin, profitability, fixed-cost, and balance-sheet analytics, and using AI to identify anomalies, trends, risks, and performance drivers. The role supports forecasting, commercial decision-making, and process improvement through advanced Excel, Power Automate, and financial analysis.

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.

Own the strategy, roadmap, and full lifecycle of AI-powered products built on ICON’s multi-agent framework and central AI platform. Translate business needs into product specifications, user stories, and acceptance criteria; manage backlogs; partner with engineering teams; define success metrics; lead launches; and communicate priorities across stakeholders. The role requires technical product management experience, AI or data-driven product delivery expertise, agile collaboration, and strong stakeholder management.

Own the vision, roadmap, commercialization, and executive strategy for Kaltura’s AI-powered learning and enablement platform. Lead 0-to-1 MVP delivery and post-MVP expansion across AI course generation, conversational tutoring, personalized learning, simulations, and enterprise foundations. Integrate acquired products and agentic AI capabilities while partnering with engineering and GTM teams on architecture, pricing, packaging, positioning, and enterprise sales. The role requires deep B2B SaaS product leadership, enterprise learning platform experience, production AI/ML delivery, and strong technical and commercial judgment.

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.

Own the strategy and execution of integrated B2B marketing campaigns for enterprise AI solutions and a self-service platform. Drive pipeline, product adoption, acquisition, and category awareness through ABM, content, events, paid media, lifecycle, social, partnerships, PR, and sales activation. Coordinate internal teams and agencies, optimize messaging and conversion paths, and measure performance across account engagement, pipeline, product adoption, and awareness.

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.

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.

Lead product design for Synthesia’s AI-native Sessions experiences. Own major design bets from problem framing through launch, establish design vision, prototype conversational and agentic interaction models, and partner with Product and Engineering leaders. The role emphasizes interaction and visual craft, systems thinking, user trust, transparency, control, enterprise needs, and measurable improvements to AI-driven workflows.

Write high-impact copy for Kraken Pro across campaigns, landing pages, emails, in-app experiences, paid ads, and social media. Translate complex trading products into compelling messaging, maintain brand voice, support product launches, collaborate with Design, Product, Growth, Social, Legal, and Communications, and optimize copy through testing and performance analysis. The role requires strong writing range, crypto and trading culture fluency, speed, creativity, and attention to compliance.

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.

Build and operate secure, scalable multi-cloud platform infrastructure supporting AI and agentic AI workloads. Develop Terraform modules, CI/CD pipelines, GitOps workflows, Kubernetes platforms, autoscaling, observability, access controls, and self-healing automation across AWS, Azure, and GCP. Maintain platform services, enforce compliance guardrails, improve reliability and cost efficiency, contribute to architecture, and mentor engineering teams in regulated environments.

Supports technical integration projects for digital dental technologies, including validating and integrating partner CAD data into a large component database. Uses AI tools from Anthropic and OpenAI to automate and optimize workflows while ensuring ISO 13485 regulatory and quality compliance. The role involves collaboration with manufacturers, technology partners, CAD specialists, and internal experts, with opportunities to contribute to digital libraries and the development of CAD software solutions.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

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.

Lead Dune’s product strategy for institutional market data and onchain finance customers. Own the product experience from data creation through delivery, prioritize customer problems, define quality and success measures, and guide engineering and data teams in delivering reliable datasets, feeds, and integrations. Partner with commercial teams on evaluations, pricing, and adoption; improve product operations; and lead a product team focused on customer outcomes.

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.

Manages end-to-end investigator and clinical site payments, including payment processing, invoice review, reconciliations, accruals, forecasting, reporting, risk management, and issue resolution. The role reviews data from study budgets, EDC, and CTMS systems; improves payment processes and systems; evaluates AI opportunities; and collaborates with global internal and external stakeholders.

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.

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.

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.