Forward Deployed Engineer - Software Development Engineer – Artificial Intelligence; AI
Listed on 2026-07-19
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Company Overview
Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.
GRAIL is headquartered in the Bay Area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
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Job DescriptionThe Forward Deployed Engineer – Software Development Engineer – Artificial Intelligence (AI) is an experienced software engineer responsible for designing, developing, testing, deploying, and supporting AI-enabled software applications, machine learning solutions, and enterprise software platforms. Working under the guidance of senior technical leaders, this role contributes to the development of scalable, secure, and maintainable AI solutions that support GRAIL's scientific, clinical, laboratory, commercial, and enterprise initiatives.
The Forward Deployed Engineer partners with Software Engineering, Data Science, Product Management, Quality, Regulatory Affairs, Clinical Development, Laboratory Operations, Finance, Legal, People, and other cross-functional teams to develop innovative AI-powered solutions while ensuring software quality, operational reliability, and compliance with applicable standards. This role is expected to demonstrate technical ownership within assigned areas while continuing to develop expertise in AI engineering, software architecture, and cloud-native technologies.
This role is based in Menlo Park, California, and will move to Sunnyvale, California in Fall 2026. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 60%, or 24 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 60% requirement for the site.
Responsibilities- Design, develop, test, deploy, and maintain AI-enabled software applications, machine learning services, APIs, and enterprise software solutions.
- Develop software that leverages artificial intelligence, machine learning, generative AI, large language models, retrieval-augmented generation, and other modern AI capabilities to improve business processes and user experiences.
- Collaborate with Product Management, Data Science, Engineering, and business stakeholders to translate functional requirements into scalable technical solutions.
- Implement high-quality, maintainable, and secure software following established software engineering, AI development, and coding standards.
- Contribute to AI model integration, prompt engineering, model evaluation, testing, monitoring, and deployment activities.
- Participate in software architecture discussions, design reviews, code reviews, and technical planning sessions.
- Troubleshoot, analyze, and resolve moderately complex software, AI, integration, and platform issues.
- Develop automated tests, CI/CD pipelines, and deployment processes to improve software quality and delivery efficiency.
- Evaluate new AI frameworks, libraries, cloud services, and engineering tools to improve development productivity and product capabilities.
- Contribute to technical documentation, design specifications, user training, knowledge sharing, and engineering best practices.
- Partner with Quality, Regulatory, Security, Privacy, and Compliance teams to support secure, reliable, and compliant software development.
- Support production operations, incident response, defect resolution, and continuous improvement initiatives.
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