This role involves leading a team of Applied AI Architects to drive the adoption of Anthropic's AI products across Europe's fastest-growing tech companies. Responsibilities include managing the team, setting pre-sales standards, working with high-value customers, and aligning cross-functional stakeholders.
This role focuses on ensuring the reliability and resilience of large language model serving systems across the full stack, from API layers to accelerators. You'll design service level objectives, build observability systems, lead incident response, and collaborate across teams to strengthen critical infrastructure. The position demands a systems thinker with strong distributed systems experience and a proactive approach to improving robustness in high-scale AI environments.
This role involves working with customers to build and productionize data and AI solutions using the Databricks platform. Responsibilities include leading architecture and design decisions, implementing end-to-end systems, and guiding strategic big data projects. The role requires deep technical expertise, customer empathy, and the ability to work cross-functionally.
This role involves owning the technical vision for a data enrichment platform that processes petabytes of driving data, supports large GPU fleets, and enables model engineers. Responsibilities include leading backend development, building scalable systems, and partnering with cross-functional teams to improve model quality and reduce operational costs.
Develops and refines vehicle trajectory and motion controllers that translate AI outputs into safe, smooth vehicle motion across diverse platforms. Works on real-time control systems using C++, integrating with AI-driven components and validating performance through simulation and on-road testing. Collaborates across teams to support new vehicle platforms and enhance control software architecture.
Lead the delivery of AI-powered agents for critical processes in life sciences and healthcare, acting as a bridge between advanced technology and real-world impact. Drive enterprise implementations, manage high-stakes client relationships, and shape product development through direct customer insights. Work across engineering, data science, and business teams to scale solutions and build reusable delivery frameworks.
Lead Machine Learning Engineer to define technical direction and deliver complex AI solutions for retail clients. Design scalable ML systems, mentor engineering teams, and drive innovation through reusable tools and cloud-native architectures. Work in high-risk, ambiguous environments to solve real-world business problems with responsible AI.
This role involves delivering AI solutions to international public-sector customers, working closely with government agencies and technical teams to identify and implement high-value applications. Responsibilities include hands-on implementation, strategic guidance, and collaboration with various stakeholders to ensure successful deployment and scale.
This role involves leading the AI and digital platform security strategy, designing scalable defense architectures, and guiding engineering teams in secure-by-design principles. The candidate will also provide technical direction during incidents, advise C-suite stakeholders, and mentor a team of security professionals.
This role involves hands-on development of machine learning and language model workflows, integrating with various providers, and building robust retrieval and evaluation systems. You will work on LangGraph, LangChain, and RAG pipelines, focusing on cost, latency, and auditability.
This role involves improving the performance of Codex agents in real-world software engineering tasks, working closely with research, infrastructure, and product teams. Responsibilities include designing agent behaviors, evaluating performance, enhancing robustness, and building feedback loops to improve the agent's usefulness and reliability.
This role involves working on the development of human-interactive AI technologies, including multi-modal human sensing, cognitive modeling, and agentic workflows. You will contribute to diverse client projects, conduct technical research, and collaborate with a multidisciplinary team to create robust AI solutions.
As a founding Solutions Architect for Cohere in the Nordics, you will play a key role in growing the company's business in the region. You will work closely with account executives, partners, and the executive leadership team to demonstrate the value of Cohere's AI technology, design and deploy customer pilots, and gather feedback to enhance products.
This role involves designing, building, and scaling AI systems to serve enterprise and developer customers, with a strong emphasis on both research and production engineering. You'll work on frontier models using large-scale compute and data infrastructure, implementing novel research ideas and deploying state-of-the-art models. The position offers deep engagement with cutting-edge AI research while contributing directly to product development in a highly collaborative, remote-friendly environment.
The AI Accelerator Lead will establish and drive a strategic initiative to unlock enterprise-wide value from AI, combining technical leadership with programme-level influence. Responsibilities include designing and operating the AI Accelerator, exploring advanced AI techniques, delivering high-impact prototypes, and building organisational capabilities in responsible AI use.
