Company Description
Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012 Guardant is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives disease through its advanced blood and tissue tests real-world data and AI analytics. Guardant tests help improve outcomes across all stages of care including screening to find cancer early monitoring for recurrence in early-stage cancer and treatment selection for patients with advanced cancer. For more information visitand follow the company onLinkedInX (Twitter)andFacebook.
Key Responsibilities:
Data Engineering & Pipeline Development
Design build and maintain large-scale ETL/ELT pipelines using AWS Glue and related AWS services.
Develop and optimize data models across Amazon S3 Redshift and Neptune to support analytics and AI workloads.
Implement transformation and data modeling workflows ensuring data accuracy consistency and lineage.
Manage data orchestration using Apache Airflow or AWS Step Functions to ensure reliability and timely data delivery.
Integrate data from CRM platforms marketing systems provider datasets and operational tools into scalable commercial data pipelines.
Agentic AI Application Development
Build Agentic AI-driven workflows using Agentic AI frameworks such as Langchain Langgraph Strands LLMs and Knowledge Bases
Develop multi-agent systems that support sales enablement provider insights and commercial operations automation.
Implement retrieval-augmented generation (RAG) pipelines and hybrid search workflows using vector databases and AWS-native retrieval tools.
Build and maintain Amazon Neptune knowledge graph.
Integrate agent capabilities with internal systems and APIs to support use cases such as provider briefings objection handling triage workflows and content generation.
Implement security guardrails and access control for agent tools.
Develop evaluation telemetry and monitoring processes to assess agent performance detect hallucinations and ensure workflow stability.
Cross-Functional Collaboration
Work closely with Product teams Commercial Operations Sales and Marketing Data Engineering and to identify automation opportunities.
Translate business requirements into scalable technical solutions with high reliability and security.
Provide technical leadership and best practices for AI-driven workflow development
Qualifications:
Required Qualifications
Bachelors or Masters degree in Computer Science Engineering Data Science or a related field or equivalent experience.
5 years of professional experience in data engineering AI engineering or related fields.
Strong expertise with AWS data engineering technologies including: AWS Glue Amazon S3 Amazon Neptune/Redshift Apache Airflow
Hands-on experience with agentic AI frameworks such as:
AWS Strands SDK and Bedrock (highly preferred)
Strands SDK LangGraph LangChain CrewAI or AutoGen
Strong proficiency in Python and experience with distributed data processing frameworks.
Practical understanding of LLMs embeddings vector search RAG pipelines and multi-agent orchestration.
Experience building secure reliable workflow systems with attention to guardrails error handling and compliance.
Preferred Qualifications
Experience integrating data from CRM systems (e.g. Salesforce) or other GTM platforms.
Experience in commercial operations sales enablement healthcare analytics or diagnostic products.
Familiarity with healthcare data compliance including HIPAA and PHI handling.
Experience with Docker CI/CD pipelines Kubernetes or observability tools (CloudWatch Prometheus Grafana).
Competencies
Strong analytical and problem-solving skills.
Ability to work independently in fast-paced dynamic environments. AI-native builder quick prototype who iterates fast.
First-principles thinker who chooses tools for correctness and efficiency.
Excellent communication skills with the ability to collaborate across technical and non-technical teams.
High attention to detail with a commitment to reliability accuracy and compliance.
Mission-driven mindset focus.
Hybrid Work Model: This section is applicable to onsite employees who are eligible for hybrid work location as specified by management and related policies. Guardant has defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays Tuesdays and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients.
The annualized base salary ranges for the primary location and any additional locations are listed below. This range does not include benefits or if applicable bonus commission or equity. Each candidates compensation offer will be based on multiple factors including but not limited to geography experience education job-related skills job duties and business need.
Primary Location: Palo Alto CA
Primary Location Base Pay Range: $121000 - $166400
Other US Location(s) Base Pay Range: $102850 - $141440
If the role is performed in Colorado the pay range for this job is: $108900 - $149760
Employee may be required to lift routine office supplies and use office of the work is performed in a desk/office environment; however there may be exposure to high noise levels fumes and biohazard material in the laboratory to sit for extended periods of time.
Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities long-term conditions mental health conditions or sincerely held religious beliefs. If you need support please reach out to
A background screening including criminal history is required for this role. GH will consider qualified applicants with criminal arrest or conviction histories in a manner consistent with applicable law including but not limited to the LA County Fair Chance Policies and the Fair Chance Act (Gov. Code Section 12952).
Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin or protected veteran status and will not be discriminated against on the basis of disability.
All your information will be kept confidential according to EEO guidelines.
To learn more about the information collected when you apply for a position at Guardant Health Inc. and how it is used please review ourPrivacy Notice for Job Applicants.
Please visit our career page at: Experience:
Senior IC
Company DescriptionGuardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012 Guardant is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives dise...
Company Description
Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012 Guardant is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives disease through its advanced blood and tissue tests real-world data and AI analytics. Guardant tests help improve outcomes across all stages of care including screening to find cancer early monitoring for recurrence in early-stage cancer and treatment selection for patients with advanced cancer. For more information visitand follow the company onLinkedInX (Twitter)andFacebook.
Key Responsibilities:
Data Engineering & Pipeline Development
Design build and maintain large-scale ETL/ELT pipelines using AWS Glue and related AWS services.
Develop and optimize data models across Amazon S3 Redshift and Neptune to support analytics and AI workloads.
Implement transformation and data modeling workflows ensuring data accuracy consistency and lineage.
Manage data orchestration using Apache Airflow or AWS Step Functions to ensure reliability and timely data delivery.
Integrate data from CRM platforms marketing systems provider datasets and operational tools into scalable commercial data pipelines.
Agentic AI Application Development
Build Agentic AI-driven workflows using Agentic AI frameworks such as Langchain Langgraph Strands LLMs and Knowledge Bases
Develop multi-agent systems that support sales enablement provider insights and commercial operations automation.
Implement retrieval-augmented generation (RAG) pipelines and hybrid search workflows using vector databases and AWS-native retrieval tools.
Build and maintain Amazon Neptune knowledge graph.
Integrate agent capabilities with internal systems and APIs to support use cases such as provider briefings objection handling triage workflows and content generation.
Implement security guardrails and access control for agent tools.
Develop evaluation telemetry and monitoring processes to assess agent performance detect hallucinations and ensure workflow stability.
Cross-Functional Collaboration
Work closely with Product teams Commercial Operations Sales and Marketing Data Engineering and to identify automation opportunities.
Translate business requirements into scalable technical solutions with high reliability and security.
Provide technical leadership and best practices for AI-driven workflow development
Qualifications:
Required Qualifications
Bachelors or Masters degree in Computer Science Engineering Data Science or a related field or equivalent experience.
5 years of professional experience in data engineering AI engineering or related fields.
Strong expertise with AWS data engineering technologies including: AWS Glue Amazon S3 Amazon Neptune/Redshift Apache Airflow
Hands-on experience with agentic AI frameworks such as:
AWS Strands SDK and Bedrock (highly preferred)
Strands SDK LangGraph LangChain CrewAI or AutoGen
Strong proficiency in Python and experience with distributed data processing frameworks.
Practical understanding of LLMs embeddings vector search RAG pipelines and multi-agent orchestration.
Experience building secure reliable workflow systems with attention to guardrails error handling and compliance.
Preferred Qualifications
Experience integrating data from CRM systems (e.g. Salesforce) or other GTM platforms.
Experience in commercial operations sales enablement healthcare analytics or diagnostic products.
Familiarity with healthcare data compliance including HIPAA and PHI handling.
Experience with Docker CI/CD pipelines Kubernetes or observability tools (CloudWatch Prometheus Grafana).
Competencies
Strong analytical and problem-solving skills.
Ability to work independently in fast-paced dynamic environments. AI-native builder quick prototype who iterates fast.
First-principles thinker who chooses tools for correctness and efficiency.
Excellent communication skills with the ability to collaborate across technical and non-technical teams.
High attention to detail with a commitment to reliability accuracy and compliance.
Mission-driven mindset focus.
Hybrid Work Model: This section is applicable to onsite employees who are eligible for hybrid work location as specified by management and related policies. Guardant has defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays Tuesdays and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients.
The annualized base salary ranges for the primary location and any additional locations are listed below. This range does not include benefits or if applicable bonus commission or equity. Each candidates compensation offer will be based on multiple factors including but not limited to geography experience education job-related skills job duties and business need.
Primary Location: Palo Alto CA
Primary Location Base Pay Range: $121000 - $166400
Other US Location(s) Base Pay Range: $102850 - $141440
If the role is performed in Colorado the pay range for this job is: $108900 - $149760
Employee may be required to lift routine office supplies and use office of the work is performed in a desk/office environment; however there may be exposure to high noise levels fumes and biohazard material in the laboratory to sit for extended periods of time.
Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities long-term conditions mental health conditions or sincerely held religious beliefs. If you need support please reach out to
A background screening including criminal history is required for this role. GH will consider qualified applicants with criminal arrest or conviction histories in a manner consistent with applicable law including but not limited to the LA County Fair Chance Policies and the Fair Chance Act (Gov. Code Section 12952).
Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin or protected veteran status and will not be discriminated against on the basis of disability.
All your information will be kept confidential according to EEO guidelines.
To learn more about the information collected when you apply for a position at Guardant Health Inc. and how it is used please review ourPrivacy Notice for Job Applicants.
Please visit our career page at: Experience:
Senior IC
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