[Hiring] Sr. AI Engineer, Snowflake Cortex @Natera
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
This role involves designing and delivering next-gen, AI-powered analytics solutions within a cloud-native data environment.
• Build AI-driven applications using Snowflake Cortex, Document AI, and Snowpark ML.
• Design and deploy predictive models for clinical decision support, patient risk scoring, and operational efficiency.
• Integrate GenAI tools like OpenAI GPT, Claude (Anthropic), and xAI’s Grok to enhance unstructured data processing (e.g., clinical notes, lab reports) and generate intelligent summaries or decision recommendations.
• Develop and optimize secure, scalable data pipelines for AI/ML workloads using Snowflake and Python.
• Integrate cloud-based services (AWS, GCP, Azure) to support healthcare-specific data architectures and real-time analytics.
• Ensure data governance, HIPAA compliance, and secure handling of PHI.
• Embed Snowflake AI capabilities into healthcare BI tools and operational dashboards (Power BI, Qlik Sense).
• Support MLOps and CI/CD pipelines to ensure reliable deployment and monitoring of AI models.
• Collaborate with clinical, operational, and IT stakeholders to translate business goals into AI-driven outcomes.
Qualifications
• Bachelor’s or Master’s in Computer Science, Data Science, or a related field.
• 5+ years of experience with AI/ML in cloud environments, including Snowflake Cortex and Snowpark ML.
• Strong programming skills in Python and SQL, with hands-on experience in model development and deployment.
• Familiarity with multi-agent AI systems or A2A architecture or orchestration frameworks that integrate OpenAI, Claude, or Grok for context-aware automation.
• Deep understanding of AI end-to-end architecture in data platform and BI technical stack.
• Experience in deploying Gen AI models in Snowflake.
• Deep understanding of data privacy, security, and compliance in healthcare or regulated industries.
• Experience with cloud services (AWS, GCP, or Azure) and AI/ML frameworks.
• Knowledge of data governance, security, and compliance standards.
• Excellent problem-solving and communication skills to work with cross-functional teams.
Requirements
• Experience deploying GenAI use cases in a Snowflake ecosystem.
• Understanding of how MCPs can complement structured Snowflake data to deliver rich narrative insights, automated clinical summaries, and patient engagement tools.
• Familiarity with healthcare data standards (e.g., HL7, FHIR) and integration into AI workflows.
• Experience with object-oriented programming languages (Java, Python).
• Ability to apply analytical and problem-solving skills.
• Ability to understand complex data structures.
• Excellent communication skills, both written and verbal.
Benefits
• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
• Free testing for employees and their immediate families in addition to fertility care benefits.
• Pregnancy and baby bonding leave.
• 401k benefits.
• Commuter benefits.
• Generous employee referral program.
Apply Now
Apply Now
Role Description
This role involves designing and delivering next-gen, AI-powered analytics solutions within a cloud-native data environment.
• Build AI-driven applications using Snowflake Cortex, Document AI, and Snowpark ML.
• Design and deploy predictive models for clinical decision support, patient risk scoring, and operational efficiency.
• Integrate GenAI tools like OpenAI GPT, Claude (Anthropic), and xAI’s Grok to enhance unstructured data processing (e.g., clinical notes, lab reports) and generate intelligent summaries or decision recommendations.
• Develop and optimize secure, scalable data pipelines for AI/ML workloads using Snowflake and Python.
• Integrate cloud-based services (AWS, GCP, Azure) to support healthcare-specific data architectures and real-time analytics.
• Ensure data governance, HIPAA compliance, and secure handling of PHI.
• Embed Snowflake AI capabilities into healthcare BI tools and operational dashboards (Power BI, Qlik Sense).
• Support MLOps and CI/CD pipelines to ensure reliable deployment and monitoring of AI models.
• Collaborate with clinical, operational, and IT stakeholders to translate business goals into AI-driven outcomes.
Qualifications
• Bachelor’s or Master’s in Computer Science, Data Science, or a related field.
• 5+ years of experience with AI/ML in cloud environments, including Snowflake Cortex and Snowpark ML.
• Strong programming skills in Python and SQL, with hands-on experience in model development and deployment.
• Familiarity with multi-agent AI systems or A2A architecture or orchestration frameworks that integrate OpenAI, Claude, or Grok for context-aware automation.
• Deep understanding of AI end-to-end architecture in data platform and BI technical stack.
• Experience in deploying Gen AI models in Snowflake.
• Deep understanding of data privacy, security, and compliance in healthcare or regulated industries.
• Experience with cloud services (AWS, GCP, or Azure) and AI/ML frameworks.
• Knowledge of data governance, security, and compliance standards.
• Excellent problem-solving and communication skills to work with cross-functional teams.
Requirements
• Experience deploying GenAI use cases in a Snowflake ecosystem.
• Understanding of how MCPs can complement structured Snowflake data to deliver rich narrative insights, automated clinical summaries, and patient engagement tools.
• Familiarity with healthcare data standards (e.g., HL7, FHIR) and integration into AI workflows.
• Experience with object-oriented programming languages (Java, Python).
• Ability to apply analytical and problem-solving skills.
• Ability to understand complex data structures.
• Excellent communication skills, both written and verbal.
Benefits
• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
• Free testing for employees and their immediate families in addition to fertility care benefits.
• Pregnancy and baby bonding leave.
• 401k benefits.
• Commuter benefits.
• Generous employee referral program.
Apply Now
Apply Now