Senior AI Software Engineer
About The Position
The Senior AI Software Engineer is responsible for architecting, designing, and delivering enterprise-grade clinical data intelligence platforms within a global clinical research organization. This role operates within a high-impact team that leverages AI-native development methodologies to accelerate the design and deployment of scalable software solutions. The position will enhance software development velocity and quality through AI-orchestrated workflows, contributing directly to the advancement of clinical research technologies that support the development of life-changing therapies, including oncology and rare disease treatments. Make an Impact at Veristat! Join a global team with more than 30 years of expertise accelerating life-changing therapies to patients worldwide. 105+ approved therapies for marketing applications prepared by Veristat 480+ oncology projects in the past 5 years 350+ rare disease projects delivered in the past 5 years Flexible, inclusive culture — 70% remote workforce, 66% women-led teams Learn more about our core values here!
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field (or equivalent practical experience).
- Minimum of 4 years of progressive software engineering experience with demonstrated success architecting and delivering production-grade systems.
- Demonstrated professional experience utilizing AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot, or similar) within structured development workflows.
- Strong understanding of requirement decomposition, acceptance criteria definition, edge case identification, and architectural constraint documentation.
- Experience with modern DevOps practices and platforms (e.g., Azure DevOps).
- Proficiency across full-stack development environments, including Python, React/TypeScript, and data platform technologies.
- Ability to evaluate when AI-augmented development is appropriate versus manual engineering approaches.
- Experience within life sciences, healthcare, or regulated industries.
- Familiarity with clinical data analytics or demonstrated ability to rapidly acquire domain knowledge.
- Experience building data platforms, ETL pipelines, analytics systems, or enterprise reporting tools.
- Experience defining, implementing, and enforcing code quality standards across teams.
Benefits
- Remote working
- Flexible time off
- Paid holidays
- Medical insurance
- Tuition reimbursement
- Retirement plans
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What This Job Offers
Job Type
Full-time
Career Level
Senior
