Note: The job is a remote job and is open to candidates in USA. Fujifilm Group, through FUJIFILM Biotechnologies, develops solutions for biopharma companies and supports the creation of vaccines, cures, and gene therapies. The Senior Data/AI Engineer will design and maintain scalable Snowflake data pipelines and cloud-native AI/ML solutions across AWS and Azure. The role also establishes engineering, data quality, governance, compliance, and operational best practices while collaborating with business and technical stakeholders.
Responsibilities
- Design, build, and maintain enterprise-scale data pipelines on Snowflake Data Platform
- Design, build, and maintain cloud-native AI/ML solutions (AWS, Azure) that support advanced analytics and decision making
- Implement best practices for data quality, observability, lineage, and governance
- Ensure integration of biotech systems (MES, LIMS, SCADA, ERP, QMS) into centralized data platform
- Collaborate with product managers, product engineers, platform architects, and business stakeholders to align data and AI engineering solutions with business requirements
- Support modern AI capabilities, including model deployment, monitoring, and data readiness
- Optimize data platform for performance, scalability, and cost efficiency
- Partner with cybersecurity and compliance teams to ensure adherence to GxP, FDA 21 CFR Part 11, and data privacy regulations
- Promote engineering best practices, including CI/CD, testing, documentation, and peer reviews
- Stay current with emerging technologies (data mesh, real-time streaming, digital twins, generative AI platforms) and introduce relevant innovations
Skills
- Bachelor's degree in Computer Science, Data Engineering, AI/ML Engineering, or related field
- 7+ years of professional experience in data engineering, AI/ML engineering, or cloud platform engineering
- Hands-on experience designing and developing data solutions on Snowflake, including data modelling, performance optimization, and cost-efficient usage
- Experience building and maintaining data pipelines using modern frameworks (e.g. Airflow, dbt)
- Experience with Airflow or similar orchestration tool
- Experience with Docker/Kubernetes for container orchestration, monitoring, and lifecycle management
- Experience with modern AI technologies, including LLMs, embeddings, and vector databases
- Strong SQL skills and experience with data modelling for analytics and AI use cases
- Strong experience with cloud platforms (AWS, Azure)
- Proven experience delivering production-grade data solutions
- Familiarity with biotech or life sciences systems and regulatory compliance frameworks (GxP, FDA, EMA)
- Design and implementation of scalable batch and streaming data pipelines
- Strong programming proficiency in Python and SQL/dbt for data processing, automation, and analytics
- Containerization and deployment of data and AI workloads using Docker
- Orchestration and operation of containerized workloads using Kubernetes
- Data quality management, observability, lineage, and governance
- Knowledge of biotech IT/OT systems (MES, LIMS, SCADA), and compliance frameworks (GxP, FDA, data privacy)
- Strong problem-solving, optimization, and troubleshooting skills for large-scale data systems
- Effective communication with both technical and non-technical stakeholders, influencing at senior levels
- Passion for emerging technologies, continuous improvement, and building innovative engineering cultures
Benefits
- Medical, dental, vision and prescription drug coverage
- Health Savings Account with company contributions
- Industry leading 401(k) savings plan
- Insurance coverage
- Employee assistance programs
- Various wellness incentives
- Paid vacation time
- Sick time
- Company holidays
- Supportive environment that enriches both your personal and professional growth
Company Overview