AI Engineer
Role details
Job location
Tech stack
Job description
- Build, deploy, iterate on and maintain robust, efficient, and compliant AI-centric solutions from PoCs to MVPs and ultimately mature products with stakeholders across Novo Nordisk.
- Navigate complicated business domains and corporate structures to find and successfully engage with technical and non-technical colleagues and help them navigate the field of AI.
- Stay at the forefront of this ever-changing field and help set the AI vision of the company.
- Spearhead the early adoption and utilization of novel and often immature technologies with long-term potential for Novo Nordisk.
- Update technical documents, attend team and external meetings, and actively participate in ideation of innovative solutions.
Your new department
Our department comprises four key teams: AI Engineering, AI Enablement, Responsible AI, and Intelligent Automation, collaborating on everything from AI innovation and infrastructure to deploying cutting-edge AI products. Our work spans research, commercial, and production environments, with a core focus on industrialising and democratising AI across Novo Nordisk, as part of the Global Data & AI area. We leverage scalable data platforms, MLOps, reference architectures, and modular components across the entire data and ML lifecycle. We are cloud-native, primarily working with Databricks, AWS and MS Azure. We embrace agility, diverse thinking, and continuous learning, fostering a culture of feedback, honesty, and fun.
Requirements
Do you have experience in Terraform?, Do you have a Master's degree?, The role requires self-sufficiency in creating and driving AI and data-centric projects and initiatives. That implies deep knowledge of the emerging AI stack, both backend and frontend, good knowledge of AI architecture and tools (vector DBs, data pipelines, knowledge graphs, agents), and the ability to easily convey knowledge and deeply technical expertise to colleagues and stakeholders with and without a technical background., We are searching for a highly motivated and self-driven team player with excellent communications skills that help to successfully collaborate with both technical and non-technical stakeholders.
To be successful in this role, we are looking for candidates with Master's degree in Artificial Intelligence or Computer Science or similar field, with work experience in the field of AI or NLP and following qualifications:
- Contribution to generative-AI products currently in production.
- Proven, deep expertise in taking AI or NLP-based applications from idea to production.
- Python-based, AI-centric frontend technologies (Chainlit, Streamlit, etc.) experience.
- Experience with taking an AI-related startup or scaleup from the early stages to maturity, and AI agents and multi-agent systems.
- Fluency with CI/CD pipelines, preferably Github Actions.
- DevOps and deployment orchestrators, preferably Kubernetes.
- Deep expertise with Docker-based development environments and deployments.
- Proficiency in MS Azure and Amazon AWS, and especially their AI offerings (Azure OpenAI and Bedrock).
- Familiarity with Terraform and/or cloud agnostic IaC.
- Experience with Google Cloud, Vector Databases, Semantic Search and Language Models would be a bonus.