Job Description We are seeking an experienced AI/ML & Analytics platform Architect who is passionate about data, digital, and AI. This role is pivotal in securing the efficient and compliant operations of our developer platform, ensuring successful value delivery to Genmabs business. You are highly technical and a hands-on individual who will build out the core features and capabilities of our AI/ML & Analytics developer platform. You will solve technical & architectural challenges to deliver a scalable, secure, and feature robust platform. You will work closely with our cross functional spoke teams to understand current and evolving AI/ML & Analytics needs to align platform and feature build-out. You will champion self-service usage patterns for end users and accelerate our usage of IaC and GitOps to build and scale these solutions. You will drive continuous improvements to the platform to ease of use and efficiency for end-users. You embody the idea that good platform engineering is rarely ever seen only felt. You have an automation-first mindset, are security-conscious, and keen on improving the in-house developer experience. Lead assigned business IT systems/projects/processes within area of engineering. Engage with critical internal and external stakeholders to identify areas for upgrades and improvements. Advise, inform, and support business teams around technology needs and issues related to own area. Lead optimization of IT systems and processes; and drive compliance of systems with regulatory requirements. Maintain up-to-date knowledge of relevant industry developments related to own area. Participate in project teams, panels, technological platforms, and meetings and keep in close contact with other IT/cross-functional teams. Guide and mentor newer team members in IT systems/processes We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills and Requirements Bachelors or Masters in a quantitative subject (e.g. Computer Science, Engineering, Data Science, Mathematics, Statistics, Operations Research) or a related field with 3-5 years of experience. Experience in building AI/ML & Analytics or related platforms for ML Researchers, ML Engineers, Data Scientists, and Data Analysts Experience building scalable self-service systems or platforms using microservices and/or event-based services Strong knowledge of commonly used AI/ML & Analytics programming languages such as Python, Spark, SQL or similar, with experience in machine learning frameworks like PyTorch or TensorFlow. Experience with the AWS cloud-service ecosystem including AI/ML & Analytics related services (e.g. Sagemaker, etc.) Experience implementing IaC (Terraform, OpenTofu, CDK, Pulumi, etc.) + CI/CD for deploying cloud-based platform infrastructure at scale Knowledge of basic software development tools including VCS (GitHub, GitLab, etc.), CI/CD (GitHub/Lab Actions, Jenkins, etc.), JIRA Knowledge of containerization (e.g. Docker, Podman, etc.) and orchestration tools (e.g. Kubernetes, Rancher, etc.) Experience with large scale CPU, GPU and/or multi-GPU infrastructure (bonus for CUDA fundamentals) Knowledge of fundamental ops capabilities such as registries, tracking, observability, and monitoring. Experience analyzing and improving system performance and reducing costs. Strong communication skills and ability to engage with stakeholders effectively. Prior experience working within the pharma/biotech domain Proficiency in at least one or more strongly typed programming language such as C/C++, Java, Go, Rust, or similar with associated OO or functional design principals. Experience with large-scale distributed systems (e.g. Ray, Dask, Spark, etc.) and high-performance computing environments (e.g. Slurm, etc.) In-depth knowledge of data platforms (e.g. Databricks, Snowflake, or Lake Formation) and tools (e.g. dbt) and their underlying technologies (e.g. Delta, Iceberg, Hudi, Spark). Prior work building and using real-time/streaming infrastructure (e.g., Kafka, Spark Streaming). Experience with GitOps style tools for building and enabling developer platforms (e.g. ArgoCD, Crossplane, etc.) Experience with multi-cloud platform development (e.g. some combination of AWS, GCP, Azure) Knowledge of high-performance frameworks for inference and training/fine-tuning (e.g. onnxRT, tensorRT, Triton, etc.) or resource intensive GenAI. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.