Senior AI Engineer

Datadog

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis.  As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team.   At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.   What You’ll Do:  * Design solutions for our different use cases. You will research and benchmark relevant   algorithms to find the best fit for our use-cases * Leverage machine learning algorithms and statistical techniques to build new scalable product features * Develop, deploy and monitor new and existing features to production * Participate in our journal club by reading and presenting the latest academic research papers to the team * Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems  * Maintain and monitor the models, services and infrastructure owned by your team * Participate in your team’s on-call rotation   Who You Are:  * You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience * You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines * You can explain complex ideas and algorithms to non-technical audiences * You care about code simplicity and performance * You are excited to work on a user-facing product   Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.    Benefits and Growth:  * Competitive global benefits * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris * Opportunity to attend and present at conferences and meetups * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)   Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog

The Behavior AI team builds the AI-based anomaly detection behind Datadog's security products. Our models learn what normal looks like across the billions of logs, events, and telemetry records flowing through the platform every second, and they flag the behavior that does not fit, on every record, in real time, at a cost that makes sense at our scale. What we build does not ship to a single feature. The same models power detection across many of Datadog's security products at once, so the work has impact well beyond any one team. Large general-purpose models are too slow and too expensive to run in that path, so we take the opposite approach: small, custom models, designed for high-throughput stream processing and optimized to run cheaply on every record.   We are hiring a Senior Applied Scientist to build these models from start to finish. You will contribute to designing the architecture, training at scale, and the optimization work that takes a model from training to running efficiently on production traffic. This optimization requires a deep understanding of the constraints imposed by both the software and the hardware, together with the applied mathematics to work within them: often it comes down to finding a mathematical reformulation that fits those constraints better, and that judgment can decide whether a model reaches production at all.   The work involves a number of open questions. How do you obtain most of the quality of a large model from one that is far smaller and cheap enough to run on the full stream? Where is it worth trading exactness for speed, and how do you reason about the error you accept? How do you make a small model's outputs clear enough that the detection engineers and analysts who rely on it can trust what it reports? If these are the problems you want to work on, we would like to hear from you.   At Datadog, we place value in our office culture: the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.   What You'll Do:   * Design and build custom mid-size models for high-throughput stream processing, and train them at scale.   * Optimize these models from start to finish, working across both the mathematics and the systems, often by finding mathematical reformulations that fit the hardware and software constraints better.   * Build the training data pipelines the work depends on when they do not already exist, from the raw stream to a training-ready dataset.   * Work with engineering to integrate models into production, with a clear focus on GPU utilization, latency, and cost per record on live traffic.   * Plan the roadmap of model and system improvements, based on a solid understanding of the product and of what matters most to users.   * Build an agentic layer on top of the models to analyze, validate, and act on their outputs.   * Build lightweight interpretability tools that make model behavior easier to explain to the people who rely on it.   * Maintain and monitor the models, services, and infrastructure your team owns, and take part in your team's on-call rotation.   Who You Are:   * You have a BS/MS/PhD in Computer Science, Engineering, Machine Learning, Applied Mathematics, or a related scientific field, or equivalent experience.   * You have hands-on experience training and fine-tuning models at scale, and deploying them into production systems with real throughput and cost constraints.   * You have a working knowledge of how GPUs work, and a track record of making models run efficiently within real hardware constraints.   * You have strong applied-mathematics fundamentals and reach for them naturally when designing and optimizing models.   * You have a real passion for applied mathematics, software design, and implementation. This role sits at the intersection of the three, and it is a requirement for the position.   * You care about code simplicity and performance, and you can build the data pipelines and the surrounding production code, in addition to the models themselves.   * You can explain complex ideas and trade-offs clearly to engineers and product partners, and you let a solid understanding of the product guide what you build next.   * Bonus: experience with efficient sequence architectures, model interpretability, or large-scale streaming systems.   Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.   Benefits and Growth:   * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Opportunity to attend and present at conferences and meetups, and to publish your work * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) * Competitive global benefits   Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.   About Datadog, Equal Opportunity, and Privacy and AI Guidelines boilerplate is appended automatically by the applicant tracking system. Add Datadog's current standard blocks before publishing.   #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration    THE ROLE   The Senior AI Engineer is a practitioner role within Data Science, AI, & Agentic. This role is responsible for driving complex AI engineering workstreams while also supporting the growth, enablement, and effectiveness of AI engineering practitioners on the team. The Senior AI Engineer shapes implementation strategy, supports delivery planning and quality, and serves as a trusted partner to internal and client stakeholders on AI-enabled applications, orchestration patterns, workflow integration, and practical adoption. You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)  Role responsibilities * • Drive complex AI engineering workstreams across multiple business areas, use cases, products, or stakeholder groups. • Define AI engineering approaches that align business goals, workflow opportunities, orchestration patterns, integration requirements, and measurable implementation outcomes. • Translate ambiguous stakeholder needs into structured implementation plans, workflow logic, prompt orchestration, retrieval patterns, tool-calling approaches, and solution recommendations. • Guide the implementation of AI-enabled applications, agents, assistant-style experiences, and workflow components that connect models to practical business processes. • Establish and reinforce best practices for prompt orchestration, tool use, context handling, retrieval flow, API integration, workflow composition, response processing, testing, and code quality. • Design and improve reusable implementation patterns for use cases such as summarization, extraction, question answering, search augmentation, conversational support, workflow automation, grounded insight delivery, and agent-assisted task execution. • Contribute to delivery planning, prioritization discussions, and quality standards across AI engineering engagements. • Mentor, coach, and support practitioners through feedback, guidance, and performance development. • Review deliverables for clarity, technical rigor, quality, consistency, safety, and business usefulness. • Help teams improve workflow reliability, integration quality, testing discipline, and implementation reuse across projects. • Collaborate with AI Scientists, Data Scientists, Data Engineers, Analytics Engineers, and Architects to align AI solutions with business needs, governed data access, platform realities, and technical constraints. • Contribute to hiring, onboarding, capability development, and team maturity within the AI engineering practice. • Follow established governance, privacy, safety, and responsible AI-use standards across the work of the team.   Must have qualifications * Advanced English Level * Expected to demonstrate AI-native engineering habits appropriate to an AI Engineer role, including active use of approved AI-enabled tools and workflows for AI application development, orchestration design, prompt and retrieval integration, tool-calling workflows, API integration, testing, documentation, and reusable implementation patterns. Uses AI-assisted workflows to accelerate development, improve implementation quality, draft test cases, document workflow behavior, troubleshoot integration issues, and refine reusable components while maintaining human accountability for correctness, safety, maintainability, governed data access, and production usefulness. * Strong experience in AI application development using Python, SQL, PowerShell, and REST APIs, including workflow design and structured data (JSON) processing. * Hands-on experience with Microsoft Azure, including Azure AI Services, Azure OpenAI-compatible services, Azure API Management (APIM), Cosmos DB, and Microsoft Fabric for enterprise AI and data solutions. * Experience designing and implementing LLM-enabled and agentic applications, including RAG, prompt orchestration, tool calling, embeddings, context management, and workflow evaluation. * Strong knowledge of AI solution integration, cloud-native architectures, and scalable AI application development within Microsoft ecosystems. * Experience working with Databricks, Apache Spark, and PySpark to support AI, analytics, and data engineering workflows. * Proficient with Git, GitHub, and Azure DevOps for version control, collaboration, and CI/CD practices.   If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.    COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.    THE BENEFITS   This is a Full Time position based in Brazil Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts * Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.     YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.     ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.   For applicants in California, please see Valtech's CPRA Privacy Notice here.