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Forward Deployed Engineer - Software Development Engineer – Artificial Intelligence; AI

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: GRAIL
Full Time position
Listed on 2026-07-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 86000 - 121000 USD Yearly USD 86000.00 121000.00 YEAR
Job Description & How to Apply Below
Position: Forward Deployed Engineer - Software Development Engineer – Artificial Intelligence (AI) - #4883

The 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
- Software Development 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.

At our Menlo Park campus, Tuesdays and Thursdays are the key days where we encourage on‑site presence to engage in events and on‑site activities. We may also consider candidates in Durham NC but the bay area is preferred.

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 (LLMs), Retrieval‑Augmented Generation (RAG), 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.
Adaptability and Growth Expectation

As our organization continues to evolve and grow, this role may require flexibility in responsibilities and duties. Employees should expect that their role may expand, shift, or be modified to meet changing business needs, strategic priorities, and organizational objectives.

This may include:

  • Participating in cross‑functional AI and software engineering initiatives.
  • Learning and adopting emerging AI technologies, software frameworks, and engineering practices.
  • Supporting enterprise modernization and automation initiatives.
  • Contributing to special projects or temporary assignments as needed.

These job duties summarize the…

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