Lead AI Deployment Architect

Join our innovative Notebooks team as a Staff Software Engineer specializing in AI/ML. At Datadog, our Notebooks are versatile tools for on-the-fly data analysis, collaborative investigations, and technical documentation. They facilitate seamless interaction between agents and users. Our team is at the forefront of developing AI-enhanced workflows for natural language data analysis, automated graph generation, and in-depth investigations. In this role, you will serve as a technical leader, dedicated to creating cutting-edge AI-powered functionalities. We are in search of a product-oriented ML engineer who possesses strong technical acumen, exceptional communication skills, and a proven history of spearheading impactful projects from inception to completion.At Datadog, we cherish our office culture for its collaborative spirit and the creativity it fosters. We adopt a hybrid work model to support our Datadogs in achieving a work-life balance that aligns with their unique needs.

Fever is a technology platform that connects people with culture and live entertainment. By combining technology and data, Fever aims to make live events more accessible and engaging for audiences around the world. The company supports over 300 million users each month in more than 55 countries, working with partners such as Netflix, F.C. Barcelona, and Primavera Sound. Fever is backed by major global investors. Role overview The AI Tech Lead position is based in Madrid and centers on guiding Fever’s AI transformation. This role involves building and leading small, focused teams to deliver AI-driven solutions that support business development, creative production, investment strategies, operations, and customer experience. The AI Tech Lead will pinpoint areas where AI can have a strong impact, set the direction for initiatives, and ensure delivery of production-ready solutions. Staying up to date with global AI trends and applying new advancements to Fever’s business challenges is essential. The position requires close collaboration with senior leaders, setting engineering standards, and shaping how AI is used throughout the company. What you will do Lead AI transformation efforts across several business areas by identifying high-impact opportunities and developing actionable roadmaps. Build and guide small, high-performance specialist teams to implement AI projects.

JetBrains is seeking an AI Lead focused on Python tools. This position centers on advancing AI technologies across the company’s product suite, with the goal of improving both user experience and product capabilities. Role overview The AI Lead will guide the development and integration of AI features into JetBrains products. The role involves direct oversight of AI project initiatives and regular collaboration with teams from various disciplines. Expect to play a key part in shaping technical direction and ensuring that Python-powered solutions continue to set a high standard in the industry. What you will do Oversee AI-focused projects from conception through implementation Work closely with engineers, designers, and product managers to align AI features with product goals Drive innovation by applying Python expertise to create and refine AI solutions Locations This role is open to candidates based in Amsterdam, Belgrade, Berlin, Limassol, London, Madrid, Munich, Paphos, Prague, remote within Germany, Warsaw, and Yerevan.

Role overview SGS seeks a Lead AI Engineer for Business Acceleration based in Madrid. This role blends technical expertise with leadership, focusing on developing and implementing AI solutions that improve business processes and outcomes. The position requires both hands-on engineering work and guiding a team to deliver effective results. What you will do Lead a team of AI engineers to deliver projects that drive business growth Collaborate with colleagues across departments to identify where AI can bring improvements Design, build, and deploy AI systems tailored to specific business needs Ensure AI initiatives achieve clear, measurable outcomes Requirements Proven experience in AI engineering and leading teams Strategic mindset with a record of driving innovation Background in working with cross-functional teams Interest in applying AI to practical business challenges

Why Join dLocal?At dLocal, we empower the world’s largest companies to process payments across 40 countries in emerging markets. Our robust payment solutions enable global brands to enhance conversion rates and seamlessly expand their payment capabilities. As both a payment processor and a merchant of record, we facilitate our clients' entry into the fastest-growing emerging markets.By joining our dynamic team, you’ll collaborate with over 1,000 talented individuals from 30+ nationalities, contributing to a career that positively impacts millions of lives daily. We are innovators and problem solvers, committed to delivering exceptional service to our customers. If this resonates with you, we believe you’ll excel in our vibrant environment.What Awaits You?As the MLOps & AI Infrastructure Technical Lead at dLocal, you will serve as the principal technical authority guiding the design, operation, and evolution of our machine learning and AI infrastructure.Your primary goal will be to empower Data Science and AI teams in transitioning models and AI-driven services from conception to production seamlessly, reliably, and in compliance with regulations. You will take ownership of the technical roadmap for our MLOps stack, integrating AI responsibly into our engineering processes while scaling our impact as usage complexity increases.A key component of your role will involve leveraging agents and AI services to automate MLOps tasks—ranging from feature store management and platform operations to fraud detection workflows and ML cost efficiency—collaborating closely with the AI team.This position entails hands-on architectural design and leadership. While you won’t directly manage product models, your influence will be pivotal in shaping how each model and AI element is trained, deployed, monitored, and operated in production.

JetBrains is seeking an AI Lead focused on integrating artificial intelligence into the C++ ecosystem. This role shapes how AI features enhance C++ development tools, directly impacting the way engineers write and maintain code. Key responsibilities Lead initiatives that embed AI capabilities into JetBrains C++ products Collaborate with engineering teams to design and implement AI-driven solutions for software development workflows Help set the direction for AI in C++ tooling at JetBrains Locations This position is open in Amsterdam, Belgrade, Berlin, Limassol, London, Madrid, Munich, Paphos, Prague, remote (Germany), Warsaw, and Yerevan.

We are seeking a highly skilled Senior AI Operations Engineer to join our innovative team at dlocal. In this pivotal role, you will leverage your expertise in AI and machine learning to enhance our operational processes, ensuring efficiency and effectiveness across our systems. You will collaborate closely with cross-functional teams to implement AI-driven solutions that will optimize our services and improve our overall performance.

Role overview The Senior AI Engineer at zooplusse will design and develop advanced AI models to address business objectives and enhance customer solutions. Collaboration with colleagues from various departments is a key part of this role, supporting the delivery of impactful AI-driven projects. What you will do Develop and improve AI models for practical, real-world use cases Partner with cross-functional teams to implement AI solutions Take the lead on AI initiatives that shape business results and customer experiences Location This role is based in Madrid.

Join us on an exciting journey as we tackle real-world challenges in the field of AI diagnostics!At SpotLab, we are at the forefront of AI innovation, empowering biopharmaceutical research and diagnostic advancements with our state-of-the-art AI solutions. As a burgeoning startup specializing in AI-driven medical diagnostics, we seek a talented individual who can enhance our processes and adeptly navigate regulatory landscapes to achieve compliance.With a strong foundation in quality and regulatory affairs, SpotLab has achieved significant milestones, including acquiring the In Vitro Medical Device Manufacturer License from the Spanish Medicines Agency, establishing a Quality Management System compliant with ISO 13485 standards, securing CE Marking for two AI diagnostic products under the IVDD, and obtaining ISO 27001 certification. We are committed to evolving our regulatory approach to keep pace with the dynamic landscape.In this role, you will have the opportunity to make a meaningful impact by helping to certify AI models for microscopy images in hematology and infectious diseases, ultimately transforming patient care on a global scale.SpotLab has garnered over 10 international awards, including the prestigious Seal of Excellence from the European Union. Our multidisciplinary team champions gender parity and brings together professionals from diverse backgrounds, including engineers, medical doctors, clinical researchers, and business strategists.

Join Causa Prima as a Senior AI / LLM Agent Engineer, where you will play a pivotal role in shaping our innovative product. You will design, develop, and manage autonomous agents that facilitate various critical business processes, including invoice validation, dispute resolution, inter-company negotiations, and cash flow optimization.Your ResponsibilitiesAgent Architecture — Create a robust multi-agent system focusing on agent boundaries, event contracts, orchestration patterns, and the integration of LLM reasoning with deterministic enforcement.Document Processing Pipeline — Develop a system for the ingestion, classification, and structured extraction of financial documents such as invoices and contracts using LLM-based parsing and vision models.Validation & Anomaly Detection — Implement business rule checks, three-way matching, and pricing discrepancy detection to ensure data integrity and identify anomalies over time.Integration Framework — Design integration solutions connecting with Gmail, Google Drive, Slack, banking APIs, crypto wallets, and accounting platforms, including robust authentication and data normalization processes.Knowledge Graph — Build a Neo4j context graph to capture implicit business knowledge, focusing on entity extraction and provenance tracking.Multi-LLM Strategy — Develop a strategy for selecting models per agent, establishing structured output contracts, and creating evaluation frameworks.Compliance & Security — Design systems that operate within a zero-trust model, ensuring agents verify against original data and manage outbound content securely to mitigate risks.QualificationsA minimum of 3 years of experience with Python and/or TypeScript in a production environment.Strong systems design acumen, with a focus on agent boundaries and failure modes.Proven hands-on experience with LLM-powered systems and document AI technologies.Ability to articulate when to use LLMs versus rules engines or traditional ML approaches.Experience in designing data pipelines and integration architectures in production.A strong understanding of security principles and their implications in system design.

Role overview Ebury is hiring an AI Platform Engineer for the Data Platform Engineering team based in Madrid (or Malaga). This hybrid position requires four days per week onsite and one day remote. The team is central to Ebury’s growth, focusing on building and maintaining the infrastructure that powers AI and agentic products throughout the company. What you will do Develop and maintain the Ebury Data Platform as part of the Data Platform Engineering team. Help build the Agentic Data Plane (ADP), which serves as a unified and governed interface for AI and agentic products. Design and implement features to simplify data communication and access, while maintaining governance, lineage, traceability, and replayability. Work closely with cross-functional domain teams to support secure and efficient deployment of AI and agentic products at scale. Work environment Hybrid schedule: four days onsite in Madrid (or Malaga), one day remote. Team values innovation, collaboration, and strong problem-solving skills. Supportive culture where team members are encouraged to grow and contribute to Ebury’s mission.

Join our dynamic team at Veolia Environnement SA as a Maintenance Engineer and take the lead in overseeing our operations. Your expertise will be vital in ensuring the efficiency and reliability of our systems. You will work closely with a team of dedicated professionals, focusing on preventive and corrective maintenance to enhance our operational performance.

Role Overview AECOM is hiring a Lead Engineer - Secondary Substation in Madrid. This position focuses on the design, development, and management of electrical substation projects. The role involves guiding project teams and applying engineering knowledge to deliver work that aligns with client needs and regulatory standards. What You Will Do Lead teams responsible for secondary substation engineering projects Oversee the design and development process for electrical substations Ensure projects meet client specifications and comply with all relevant regulations Apply engineering principles to solve technical challenges and maintain project quality

Are you passionate about leveraging AI technologies to enhance backend systems? Join docplanner as a Backend Engineer specializing in AI Integration. In this role, you will collaborate with a dynamic team to design, develop, and implement innovative solutions that integrate AI capabilities into our existing systems.Your expertise will contribute to optimizing processes and improving user experiences across our platforms. If you're ready to take your backend engineering skills to the next level while working with cutting-edge technology, we want to hear from you!

Join our innovative Transmission & Distribution team at AECOM as a Lead Engineer specializing in Primary Substations. This is an exceptional opportunity for a driven engineer to make a significant impact on energy projects globally while advancing your technical skills within a supportive and high-performing environment.Deliver specialized technical insights for studies and designs in your area of expertise.Establish study and design protocols that ensure quality and cost-effective outcomes for the team.Engage in interdisciplinary reviews of project deliverables to enhance collaboration and efficiency.Generate construction cost estimates and technical effort assessments for various projects.Utilize your expertise throughout all phases of the discipline component of PS&E packages.Conduct quality control reviews of design calculations and drawings to uphold high standards.Draft detailed technical specification sections to guide project execution.Contribute to the development of engineering budgets and schedules that align with project requirements.

About the Role airapps is hiring an AI/ML Engineer in Madrid. This position focuses on building and improving machine learning solutions that turn data into practical insights. The work involves close collaboration with colleagues from different teams to refine current applications and design new models that support the company’s technology goals. What You Will Do Develop machine learning models to solve real business problems Work with cross-functional teams to improve existing applications Create new solutions that advance airapps’ technology Location This role is based in Madrid.

Join Celonis as an Associate Applied AI Engineer in our innovative Orbit Program, where you'll collaborate with a dynamic team to develop cutting-edge AI solutions. This role offers a unique opportunity to work at the forefront of technology, applying your skills to real-world problems and making a significant impact on our clients' operations.

About EverfieldEverfield is dedicated to acquiring, developing, and enhancing European vertical market and specialized software companies, equipping them with essential tools for advancement. Our mission is to ignite ambition, stimulate growth, and unlock opportunities within Europe’s software ecosystem.Companies within the Everfield ecosystem adopt a decentralized model, retaining their unique teams, brands, and offices while concentrating on their core strengths—product development and customer support. Everfield aids in talent acquisition, HR, and offers expert guidance on financial and operational matters to bolster the growth of European B2B SaaS enterprises. Established in 2022, Everfield has expanded its ecosystem across seven countries and continues to grow.Who We AreVozitel is a technology company specializing in conversational automation solutions and intelligent communication management for contact centers. Our platform revolutionizes customer service, boosts productivity, and provides measurable returns through voice virtual agents and generative AI tools applied to real business processes.As part of Everfield, an international software group, we benefit from product investment, excellence standards, and access to a global community of engineering and knowledge. This partnership enables us to continually innovate and deliver greater value to our clients while maintaining the agility and impact-driven approach that defines us.Our clear objective is to lead the future of Voice AI and intelligent business communications from Spain to the world.We are looking for curious, courageous individuals with a growth mindset who want to embark on this journey and help shape the future of business communications with us.

Join Datadog, a leader in cloud monitoring and observability, where we harness the power of AI to enhance our platform's capabilities. Our mission is to streamline monitoring, accelerate incident resolution, and ensure data integrity for cloud applications. The Deployment Gates team is at the forefront of creating innovative, customer-centric systems that determine the readiness of software for production. These systems play a crucial role in CI/CD pipelines, utilizing observability data to answer a pivotal question in software delivery: Is this deployment safe to proceed based on our current knowledge? As a Senior AI Engineer, you will: Advance Deployment Gates from static rules to AI-driven decisions, leveraging Datadog telemetry to identify and prevent faulty changes before they reach users. Lead the design and implementation of progressive deployment automation, starting with conservative AI rules and evolving towards adaptive gates that learn from incidents and organizational behaviors. Create frameworks for autonomous remediation, linking code changes to production issues, enabling capabilities to block and roll back unsafe deployments while suggesting fixes and enforcing policies. This role is ideal for someone with a strong product mindset, as you will engage in the entire lifecycle from problem discovery and user experience to delivering reliable, scalable production systems. At Datadog, we value our office culture - the relationships we build, the creativity we foster, and the collaboration that arises from working together. We embrace a hybrid work model to help our employees achieve a balance that suits their lifestyle.