
Implementation Operations Engineer – AI Solutions
Posted Aug 18

Posted Aug 18
This is a fully remote position, open to applicants in India.
• Oversee comprehensive implementation operations, which include customer onboarding, regular data deliveries, production workflows, and operational support.
• Assist in AI-driven implementations and onboarding by collaborating with technical and cross-functional teams.
• Carry out and confirm production deliveries while ensuring data quality, punctuality, documentation, and customer impact standards are upheld.
• Work together with Product, Engineering, DPQ, Customer Success, and Technical Engagement teams to address issues and achieve customer outcomes.
• Utilize GenAI tools and AI capabilities to enhance productivity and streamline technical workflows.
• Promote automation, documentation, and process enhancements to create more scalable and dependable implementation operations.
• Independently handle customer implementations and regular deliveries.
• Contribute to the development of AI and Implementation Operations playbooks, documentation, and standardized operating procedures.
• Proficient in SQL and foundational data principles.
• Capable of investigating data, validating outputs, and troubleshooting delivery workflows.
• Demonstrates curiosity and the ability to learn about AI technologies and AI-driven implementation workflows.
• Experience with APIs, cloud platforms, or contemporary data ecosystems.
• Strong sense of ownership, communication skills, and the ability to manage stakeholders across both technical and non-technical partners.
• Comfortable navigating ambiguity, acquiring knowledge of new systems, and taking initiative in problem-solving.
• Thoughtful application of GenAI tools, with sound judgment, validation, and data management practices.
• Nice-to-have: familiarity with Snowflake, AWS, Python, or Airflow.
• Nice-to-have: experience in the healthcare or Life Sciences sector.
• Nice-to-have: experience in SaaS implementation or technical onboarding.
• Nice-to-have: knowledge of GenAI tools and AI-driven workflows.
• Flexible remote work options.
• A hybrid work model with adaptability based on role requirements.
• Access to AI-driven tools and workflows incorporated into daily responsibilities.
• Commitment to equal employment opportunities and protection against discrimination.
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