Principal AI Operations Engineer
AbbVie
Summary
Come to work each day with an inclusive and collaborative business technology team. As a Principal AI Operations Engineer in AbbVie Business Technology Solutions (BTS), you will have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better. A successful candidate will bring best-in-class AI/ML Engineering and Operations methodologies, deep understanding of AI/ML Platform space, proven history of solving operationalizing ML and AI and ability to work with cross-functional teams to deliver and execute complex analytics problems.
Job description
Responsibilities
- Architect patterns that increase success in getting AI delivery teams to ship AI and ML models to solve business problems.
- Develop and configure model registries and experiment tracking.
- Set-up model drift detection and observability patterns.
- Create reusable templates and patterns for rapidly creating projects.
- Create central CICD workflows across ML and AI projects.
- Set-up Feature Stores and online feature serving.
- Design cloud architecture to solve ML and AI problems.
- Enforce code quality standards, data quality and ensure reproducibility and compliance.
- Initiate and drive projects with minimal oversight and guidance.
Tools and skills you will use in this role
- AI platforms like SageMaker, Databricks, etc.
- CICD Tools like GitHub Actions
- Infrastructure-as-Code tools like Terraform
- Lakehouse data storage patterns like Iceberg and Delta.
- JIRA, CI/CD and Agile project methodology
- Cloud environment (AWS, Azure, etc.) with large datasets and with streaming data architectures.
- Large Language Models and Generative AI
- ML Registries like MLFlow
Qualifications
- Bachelor's Degree with 9 years of experience; Master's Degree with 8 years of experience; PhD with 4 years of experience.
- Respective years of working experience in doing ML/AI Engineering, Data Science, or AI Platform engineering.
- Respective years of experience in advanced SQL, Python, Spark, and a broad array of ML frameworks
- Respective years of experience architecting with advanced analytics and data science platforms.
- Respective years of experience with data lakes like Iceberg or Delta.
- 2+ years of experience with GenAI application development, LLM prompt engineering, LLM-based solution architecture like RAG, developing Chatbots and AI agents using both unstructured and structured data.
- 3+ years of experience in developing and deploying solutions in a Cloud environment (AWS, Azure) with large datasets and with streaming data architectures.
- 3+ years of experience in using MLflow for model registry, experiment tracking, and model validation.
Preferred
- Experience with Pharma data, including insights into commercial sales and field operations is a plus.
- Consulting experience in ML/AI Engineering or AI Platform domain.
- 5+ years of working experience in ML/AI Engineering, Data Science, or AI Platform engineering
- 5+ years of experience in advanced SQL, Python, Spark, and a broad array of ML frameworks
- 5+ years of experience architecting with advanced analytics and data science platforms.
- 5+ years of experience with data lakes like Iceberg or Delta.
- Self-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidance.
Requirements
- Bachelor's Degree with 9 years of experience; Master's Degree with 8 years of experience; PhD with 4 years of experience
- Experience in ML/AI Engineering, Data Science, or AI Platform engineering
- Advanced SQL, Python, Spark, and a broad array of ML frameworks
- Experience architecting with advanced analytics and data science platforms
- Experience with data lakes like Iceberg or Delta
- 2+ years of experience with GenAI application development, LLM prompt engineering, LLM-based solution architecture like RAG, developing Chatbots and AI agents
- 3+ years of experience developing and deploying solutions in a Cloud environment (AWS, Azure) with large datasets and streaming data architectures
- 3+ years of experience using MLflow for model registry, experiment tracking, and model validation
Benefits
- Paid time off
- Medical, Dental & Vision
- 401(k)
- Long-term incentive programs
Company overview
AbbVie is a global biopharmaceutical company that discovers, develops, and markets advanced therapies for some of the world's most complex and serious diseases. Founded in 2013 as a spin-off from Abbott Laboratories, AbbVie has established itself as a leader in immunology, oncology, neuroscience, eye care, and virology. The company's flagship product, Humira (adalimumab), was one of the world's top-selling drugs for treating autoimmune conditions like rheumatoid arthritis and Crohn's disease. AbbVie maintains a robust pipeline of innovative medicines and has expanded its portfolio through strategic acquisitions, including Allergan in 2020. With research facilities across the United States and globally, AbbVie focuses on advancing science to improve patient outcomes while maintaining strong commercial operations worldwide. The company operates with a patient-centric approach and invests significantly in research and development to address unmet medical needs across multiple therapeutic areas.