Top Artificial Intelligence Jobs in Amsterdam

Lead and build Axelera's AI Infrastructure Systems division to deliver datacenter-class hardware from accelerator cards and OAM/UBB modules to 1U/2U racks. Own architecture, schematics, PCB/layout review, power/thermal/mechanical design, BMC/firmware, bring-up, validation, qualification, NPI, and ramp with CMs/ODMs. Align roadmaps with silicon, SDK, and product teams, engage customers and partners, set engineering processes, manage budget and vendor relationships, and mitigate technical risks through hands-on leadership.

Lead applied research and system design for agent-native search: develop multi-stage retrieval, ranking, and grounding methods for LLMs working with real-time web data; define evaluation paradigms; optimize relevance, latency, and cost; deploy solutions to production and mentor the engineering team.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

Lead hands-on applied AI work: prototype demos, accelerate customer POC-to-production, perform technical onboarding, optimize distributed training and inference on GPU infrastructure, research and implement emerging ML techniques, and feed actionable product feedback while producing reusable assets and benchmarks.

Lead design and implementation of AI-native features for PyCharm and Python tooling. Architect integrations (MCP, agents), prototype and ship features, guide engineering decisions, evaluate AI tools/providers, and expose IntelliJ Platform capabilities to AI workflows while collaborating with product, ML, QA, and senior developers.

Design, build, and operate agentic AI systems for autonomous network optimization. Develop scalable AI/ML pipelines, ensure production reliability through monitoring, testing, and governance, integrate models into real-time network environments, and apply reinforcement learning for self-adapting models.

As a Full Stack/Product Engineer, you will design, develop, and deliver scalable web applications, manage software lifecycles, collaborate with teams, and mentor junior engineers.

The Engagement Manager leads AI-driven implementations, coordinating client communication, overseeing project delivery, and aligning technical capabilities with business needs across enterprise environments.

Support AI agent design, testing, and workflows for marketing clients; help run AI discovery workshops and client sessions; conduct market research and pitch materials; document learnings and contribute to platform innovation using WPP Open.

Support design, testing, and deployment of AI-powered marketing agents and workflows using WPP Open. Assist client workshops, develop pitch materials, conduct market research, document learnings, and help deliver internal training. Work embedded on live engagements with mentorship from senior team members.

Evaluate Gemini personalization by designing multi-turn prompts based on personal context, scoring responses for relevance, personalization, hallucinations and grounding, validating data usage, ranking outputs, writing rationales, and maintaining data hygiene while collaborating with remote teams.

Lead strategic AI and experience orchestration engagements with account teams to accelerate adoption of Genesys AI capabilities. Shape AI use cases, lead workshops, influence deal strategy, support proposals/pricing, and drive sales enablement and field execution across the AI portfolio to deliver measurable customer outcomes.

Design, build, and scale production-grade agentic AI/LLM applications and reusable platform capabilities. Architect cloud-native, microservice-based AI systems with orchestration frameworks, evaluate and optimize AI performance, and translate prototypes into secure enterprise solutions while driving engineering best practices.

As an AI Filmmaker, you'll conceptualize, create, and edit videos using AI tools, collaborating with the marketing team to align content with brand guidelines.

The Developer Relations AI role involves engaging with the developer community, creating technical content, advocating for technology, and collaborating across teams to enhance developer experience.

As an AI Inference Engineer, you will optimize C++ systems for AI model inference on edge devices, collaborating with researchers to deploy and enhance models while ensuring runtime stability and performance.

The Developer Relations role at Tether focuses on engaging and educating the developer community, creating technical content, and promoting the company's technology through advocacy and community building initiatives.

Lead the AI engineering practice, architect systems, manage teams, develop products, and engage with C-level clients at Riverflex.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

As an AI Research Intern, you will tackle AI research questions, build prototypes using AI tools, and design evaluations for AI systems while collaborating with fellow engineers and product managers.

The Site Reliability Engineer will assist in SRE operations, execute defined tasks, and learn about networking, cloud infrastructure, and container management tools.

The intern will prototype AI use cases in game development, evaluate AI tools against production constraints, and create insights for their team.

Support AI-related initiatives in game production, assist with tool setup and troubleshooting, maintain documentation, and provide operational support to producers.

Lead the EMEA AI Forward Deployed Engineering team, focusing on AI transformation and building customer-facing AI applications while managing key accounts and developing team structure.

Lead and build the AI foundation for an AI-native vulnerability management platform. Own AI strategy, evaluation frameworks for non-deterministic agents, fine-tuning and model-routing experiments, prototype and ship agentic features, and lead a small hands-on AI team to productionize breakthroughs in generative AI for cybersecurity.