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

Forward Deployed Engineer – Software Development Engineer – Artificial Intelligence (AI)

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 services, APIs, and enterprise software solutions. 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.

• 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.

• 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.

• Bachelor’s degree or equivalent in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Typically 3–5 years of professional software development experience, including experience developing enterprise applications or AI‑enabled software solutions.
• Experience with software development using Python and one or more programming languages such as Java, C#, C++, or JavaScript/Type Script.
• Experience working with AI or machine learning frameworks such as PyTorch, Tensor Flow, Scikit‑learn, Hugging Face, Lang Chain, OpenAI APIs, Azure OpenAI, Amazon Bedrock, or similar technologies.
• Working knowledge of cloud computing platforms (AWS, Azure, or GCP), APIs, microservices, containers, and modern software development practices.
• Experience with CI/CD pipelines, source control systems, Agile development methodologies, and automated testing.
• Familiarity with databases, data engineering concepts, REST APIs, and software integration.
• Experience working in healthcare, biotechnology, diagnostics, life sciences, or regulated environments.
• Working knowledge of applicable security, privacy, and regulatory requirements relevant to software development, including:
• Cybersecurity fundamentals and secure software development practices
• HIPAA and protection of sensitive data
• FDA‑regulated software environments, software validation, and data integrity principles
• Solid software engineering skills with the ability to develop scalable, maintainable, and reliable…