Data Engineer, AI
Role summary
FUJIFILM Biotechnologies seeks a Principal Data/AI Engineer to lead the technical strategy and architecture for enterprise-scale data and AI platforms. This role involves designing, developing, and optimizing data pipelines, analytics, and AI-driven solutions critical to advancing healthcare. The engineer will act as a technical expert, promoting best practices in data engineering, mentoring junior staff, and collaborating with cross-functional teams. Key requirements include deep expertise in cloud platforms (AWS, Azure), data modeling, AI/ML, and regulatory compliance (GxP, FDA) within the biotech sector. Responsibilities encompass architecting pipelines, implementing ML/GenAI solutions, enforcing data governance, and ensuring integration with biotech systems.
About The Company
FUJIFILM Biotechnologies is a leading organization dedicated to advancing healthcare through innovative biotechnological solutions. With a global footprint and a commitment to scientific excellence, the company focuses on developing groundbreaking vaccines, gene therapies, and biopharmaceutical products. Headquartered in Tokyo, FUJIFILM operates across multiple segments including healthcare, electronics, business innovation, and imaging, employing over 70,000 professionals worldwide. The company's core purpose is to give the world more smiles by leveraging cutting-edge technology and fostering a culture of innovation and collaboration. FUJIFILM Biotechnologies is committed to making a meaningful impact on people's lives by supporting the development of life-saving treatments and ensuring regulatory compliance and data integrity in all its operations.
About The Role
The Principal Data/AI Engineer at FUJIFILM Biotechnologies plays a pivotal role in shaping the technical strategy and architecture of enterprise-scale data and AI platforms. This position involves leading the design, development, and optimization of data pipelines, analytics, and AI-driven solutions that are critical to the company's mission. The ideal candidate will serve as a technical expert, guiding the organization in implementing best practices for data engineering, including modular pipeline design, version control, automated testing, and observability. They will also mentor junior engineers, promote Agile methodologies, and collaborate with cross-functional teams to align technology solutions with business objectives. The role demands a strategic thinker with deep expertise in cloud platforms, data modeling, AI/ML solutions, and regulatory compliance, particularly within the biotech and life sciences sectors.
Qualifications
- Bachelor’s degree in Computer Science, Data Engineering, AI/ML Engineering, or related field
- 12+ years of professional experience in data/software engineering, AI/ML engineering, or cloud platform engineering
- Proven experience with Python and SQL
- Extensive experience building and maintaining data pipelines using frameworks such as Airflow and dbt
- Strong expertise in data modeling for analytics and AI use cases
- Proficiency with cloud platforms including AWS and Azure
- Experience delivering production-grade data solutions
- Familiarity with biotech or life sciences systems and regulatory frameworks such as GxP and FDA
- Advanced degree (MS/PhD) preferred
- Relevant industry certifications (e.g., Snowflake, AWS, Azure) preferred
- Knowledge of modern AI technologies, including LLMs, embeddings, and vector databases
- Experience with containerization and orchestration tools like Docker and Kubernetes
- Strong problem-solving, troubleshooting, and optimization skills for large-scale data systems
- Excellent communication skills for engaging with technical and non-technical stakeholders
Responsibilities
- Architect, build, and maintain scalable batch and streaming data pipelines on platforms such as Snowflake, AWS, and Azure
- Design and implement ML/GenAI solutions utilizing managed cloud services and platforms
- Establish and enforce standards for data quality, observability, lineage, and governance
- Ensure seamless integration of biotech systems like MES, LIMS, SCADA, ERP, and QMS into centralized data platforms
- Collaborate with product managers, engineers, and business stakeholders to develop data and AI strategies aligned with organizational goals
- Enable advanced AI use cases, including feature stores, vector search, model serving, and continuous monitoring for bias and drift
- Optimize storage, compute, caching, and workload orchestration to meet latency and throughput requirements
- Partner with cybersecurity and compliance teams to adhere to GxP, FDA 21 CFR Part 11, and data privacy regulations
- Lead design reviews, incident analysis, and cross-team architecture discussions
- Stay abreast of emerging technologies such as data mesh, real-time streaming, digital twins, and generative AI platforms, and introduce relevant innovations
Benefits
- Competitive salary range of $146,000 to $241,000, commensurate with experience and location
- Comprehensive health benefits including medical, dental, vision, and prescription drug coverage
- Health Savings Account (HSA) with company contributions
- Industry-leading 401(k) savings plan
- Insurance coverage and employee assistance programs
- Wellness incentives and programs to support overall health and well-being
- Paid vacation, sick leave, and holidays to promote work-life balance
- Opportunities for professional growth and development in a dynamic environment
Equal Opportunity
FUJIFILM Biotechnologies is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, ethnicity, gender, sexual orientation, gender identity, age, disability, religion, political beliefs, or any other characteristic protected by law. We are dedicated to providing equal opportunities in all aspects of employment, including hiring, promotion, compensation, and training. We welcome applicants from all backgrounds to join our team and contribute to our mission of advancing healthcare innovations globally.
