Senior Staff Solutions Architect

Responsibilities

• Ensure smooth, on-time delivery of solutions by aligning various Verily teams, specifically the xFN teams.
• Provide pre-sales support for closing deals, responding to RFPs, managing dependencies, and acting as a liaison between product engineering and solutions teams to ensure architectural alignment.
• Help with sales-related materials and tracking solution deployment status.
• Develop common, reusable solutions and services to drive repeatability and reduce custom efforts.
• Create a central repository for solutions, components, and best practices, as well as develop standardized playbooks and reference architectures.
• Manage the intake process for new solution requests, establish clear requirements, and align stakeholders.
• Design and manage a prioritization framework to effectively allocate resources based on strategic priorities.
• Provide architecture and technical expertise to the entire lifecycle of a solution, from initial commitment through ongoing customer support.
• Participate in contract and legal reviews, and ensure that all ongoing commitments and service level agreements (SLAs) to customers are met.

Qualifications

• Bachelor’s degree in computer or data science, engineering, and/or life science field with 10+ years of experience in developing technologies in HCLS.
• Demonstrated success in engaging with customers to understand their needs, plan strategic initiatives, and deliver outcomes that exceed their expectations.
• Proven track record in solution architecture, and delivery, planning, and stakeholder management.
• Experience building and deploying scalable solutions on cloud computing platforms such as GCP or AWS.
• Proven experience designing and implementing AI/ML solutions, including model development, training, and deployment, with a deep understanding of frameworks such as TensorFlow, PyTorch, or similar.

Preferred Qualifications

• Exceptional communication, presentation, and interpersonal skills, capable of influencing diverse stakeholders across technical and commercial functions.
• Demonstrated ability to thrive in a fast-paced, ambiguous, and rapidly changing startup environment.
• A breadth of experience with creating actionable insights from diverse health data modalities: omics, biomarkers, diagnostics, imaging, claims, SDOH, etc., and familiarity with collection methods and provenance.
• Educational or experiential background in healthcare or life sciences, with emphasis on healthcare data and interoperability standards.