Engineer, AI/ML & Analytics Platform Engineering

About the position At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! At Genmab, AI & analytics technology is more than just a solution, it powers the R&D, Commercial, and functional business units that work tirelessly to save lives and bring valuable treatments to patients around the world. The new AI & Analytics Platform Engineering & Standards team, is building quickly to meet the business demand of immediate, real-time, in-house built technology innovation. Our technology experts tackle exciting challenges in collaborative teams but work in an environment where individual and career development is always valued. Our team members leverage their talents and passion, building new and innovative systems, creating programs founded in automation in agile frameworks, and driving existing and cutting-edge innovation. We are seeking an experienced AI/ML & Analytics platform engineer 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 Genmab’s business. Work arrangement: This role offers flexibility to work away from the office for 20%–40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager. Position Overview: 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.

Responsibilities

• Contribute to the build out of the AI/ML & Analytics platform, services, and tools (across dev, test, and prod) that accelerate model training, inference, and deployment within our spoke teams
• Build platform capabilities to support both batch and real-time workflows at scale with flexible deployment strategies to accommodate varying use cases (e.g. low-latency predictions, offline model inference)
• Improve platform performance, reduce manual intervention, scale compute, and increase deployment efficiency.
• Work with the foundational cloud teams to ensure platform operational effectiveness, reliability, security and efficiency.
• Work with team members to provide technical guidance and implementations for monitoring systems (e.g. registry, alerting, etc.) and governance frameworks (e.g. regulatory compliance).
• Collaborate with our spoke teams for AI/ML & Analytics system architecture design, deployment pipelines, and solution scaling.

Requirements

• 7+ years of equivalent professional experience in platform engineering, AI/ML & Analytics platforms, developer platforms, or closely related domains.
• Bachelor’s or Master’s degree in a quantitative field preferred (e.g., Computer Science, Engineering, Data Science, Mathematics, Statistics, Operations Research) or a related discipline.
• Experience 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).
• Experience implementing IaC (Terraform, OpenTofu, CDK, Pulumi, etc.) plus CI/CD for deploying cloud-based platform infrastructure at scale.
• Knowledge of software development tools including version control (GitHub, GitLab), CI/CD tooling (GitHub/Lab Actions, Jenkins), and agile tools (JIRA).
• Knowledge of containerization (Docker, Podman) and orchestration tools (Kubernetes, Rancher).
• Experience with large-scale CPU, GPU, and/or multi-GPU infrastructure (bonus for CUDA fundamentals).
• Knowledge of operational 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.

Nice-to-haves

• 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.

Benefits

• 401(k) Plan: 100% match on the first 6% of contributions
• Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance
• Voluntary Plans: Critical illness, accident, and hospital indemnity insurance
• Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave
• Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support
• Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses

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