Implementation Operations Engineer - AI Solutions
Own customer implementation operations, recurring data deliveries, production workflows, and operational support while supporting AI-enabled implementations. The role requires strong SQL and data fundamentals, API or cloud experience, and the ability to improve delivery processes through automation and GenAI.
About the job
Responsibilities
- Own end-to-end implementation operations, including customer onboarding, recurring data deliveries, production workflows, and operational support.
- Support AI-enabled implementations and onboarding by partnering with technical and cross-functional teams.
- Execute and validate production deliveries while maintaining high standards for data quality, timeliness, documentation, and customer impact.
- Collaborate with Product, Engineering, DPQ, Customer Success, and Technical Engagement to resolve issues and deliver customer outcomes.
- Use GenAI tools and AI capabilities to improve productivity, accelerate technical workflows, and identify operational improvements.
- Drive automation, documentation, and process improvements to make implementation operations more scalable and reliable.
Requirements
- Strong SQL and data fundamentals, including investigating data, validating outputs, and troubleshooting delivery workflows.
- Curiosity and aptitude to learn AI technologies and AI-enabled implementation workflows.
- Experience with APIs, cloud platforms, or modern data ecosystems.
- Strong ownership, communication, and stakeholder management skills across technical and non-technical partners.
- Comfort working through ambiguity, learning new systems, and taking initiative to solve problems.
AI Use Expectations
- Use GenAI tools thoughtfully for research, troubleshooting, documentation, coding, workflow analysis, and other implementation activities.
- Identify opportunities to apply AI and automation to reduce repetitive manual work and improve delivery quality and scalability.
- Apply appropriate judgment, validation, and data-handling practices when using AI tools with customer and operational workflows.
Nice-to-Haves
- Snowflake, AWS, Python, or Airflow experience.
- Healthcare or life sciences industry experience.
- SaaS implementation or technical onboarding experience.
- Familiarity with GenAI tools and AI-enabled workflows.
Work Model
- Hybrid work model with hubs in San Francisco, New York City, and Chicago.
- Some roles may be performed from anywhere in the country, while others are scoped to a specific region or based near a hub.
Skills
SQL, APIs, Cloud Platforms, Snowflake, AWS, Python, Apache Airflow, Generative AI, Automation, Data Quality
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