Staff Solutions Architect

About the role

Who We Are Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.

Description This role will support the Solution Engineering leader in driving strategic alignment, standardization and operational excellence for Solution delivery. A force multiplier, enabling the Solutions/Eng. leadership, and working closely with xFN partners will build a Solutions toolset and stitch Verily's platform and product capabilities in valuable Solutions that address customer needs.

Responsibilities

Pre-sales solutions consulting: The role involves ensuring smooth, on-time delivery of solutions by aligning various Verily teams, specifically the xFN teams. This includes providing 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.

• The person in this role also helps with sales-related materials and tracking solution deployment status.
• Driving Standardization and Repeatability: A key function is to develop common, reusable solutions and services to drive repeatability and reduce custom efforts.
• This involves creating a central repository for solutions, components, and best practices, as well as developing standardized playbooks and reference architectures.

• The goal is to significantly reduce the time required to onboard new customers.
• Operational Management and Efficiency: The role is responsible for improving business processes and operational efficiency.
• This includes managing the intake process for new solution requests, establishing clear requirements, and aligning stakeholders.

A central part of this is designing and managing a prioritization framework to effectively allocate resources based on strategic priorities. Solution Lifecycle Management: The role provides architecture and technical expertise to the entire lifecycle of a solution, from initial commitment through ongoing customer support.

This includes participating in contract and legal reviews, and ensuring that all ongoing commitments and service level agreements (SLAs) to customers are met.

Qualifications

Minimum 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.

Pay and benefits

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. Education or exposure to healthcare or life sciences, with emphasis on healthcare data and interoperability standards. This role is eligible for Verily-sponsored immigration support.

The US base salary range for this full-time position is $190,000 - $213,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.

Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits.

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