Verily

Staff Solutions Architect

Verily$208K — $276K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer or data science, engineering, or life science with 10+ years of experience in HCLS technologies.
  • Experience in engaging customers to identify needs and deliver strategic initiatives.
  • Proven background in solution architecture, delivery, planning, and stakeholder management, with cloud solution deployment experience (GCP or AWS).
  • Expertise in designing AI/ML solutions, including model development and deployment using TensorFlow or PyTorch.

Responsibilities

  • Provide pre-sales solutions consulting and ensure timely delivery by aligning various teams.
  • Drive standardization by developing reusable solutions and playbooks to enhance onboarding.
  • Manage operational processes to improve efficiency, including intake for solution requests.
  • Oversee solution lifecycle management, ensuring commitments and SLAs to customers are met.

Benefits

  • Verily-sponsored immigration support is available.
Full Job Description
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.


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.
  • 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 $208,000 - $276,000 + 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.

About Verily

Verily is a healthcare company that specializes in developing technology solutions for medical research and patient care. The company was founded in 2015 as a subsidiary of Alphabet Inc., the parent company of Google. Verily's products include wearable devices, software applications, and data analytics tools that help healthcare professionals to monitor and treat patients more effectively. The company is known for its innovative approach to healthcare, which combines cutting-edge technology with scientific research and clinical expertise. Verily is headquartered in South San Francisco, California, and has offices in several other locations around the world.
Learn more about Verily
Size
1,000 employees
Industry
Founded
2015

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