Exel
AI Principal Engineer - Clinical Data Analytics
Alameda, CA · Principal
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$21,149 more — $193,149 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,149 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- The role combines strategic vision, deep technical expertise, strong governance discipline and hands-on execution, enabling Exelixis to responsibly leverage data engineering, advanced analytics and AI in a highly regulated environment.
- The base pay range for this position is $172,000 - $245,000 annually.
- The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location.
Responsibilities
- Develop production AI/ML and Generative AI solutions, including evaluation, deployment, monitoring and lifecycle management.
- Partner with business leaders to identify, scope, prioritize and deliver high-impact, outcome-driven analytics and AI use cases.
- Lead MLOps/LLMOps practices for model deployment, prompt/version management, monitoring and governance.
- Collaborate with Legal, Compliance and Security teams to ensure AI solutions meet regulatory and ethical standards.
- Design, implement and evolve modern data architectures, including data warehouses, data lakes and data pipelines.
- Evaluate, select and optimize data management, analytics and AI technologies and tools.
- Performs other duties as assigned
Requirements
- It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
- Bachelor's degree in Computer Sciences, Data in a related field (e.g., Information Services, Data Science) or equivalent and a minimum of eleven years of related experience
- Master's degree in Computer Sciences, Data in a related field (e.g., Information Services, Data Science) or equivalent and a minimim of nine years of related experience
- Advanced proficiency in Python and SQP
- working knowledge of R if needed.
- Demonstrate strong understanding of AI/ML models, model performance, efficiency and algorithm explainability.
Skills
- Equivalent combination of education and experience.
- Advanced experience with Databricks, Unity Catalog, Delta Lake and lakehouse governance.
- Advanced proficiency in Python and SQP; working knowledge of R if needed.
- Intermediate knowledge of Delta Lake, Data Modeling Best Practices and Delta Lakehouse architecture.
- Intermediate knowledge of Metadata Management and Data Lineage Tracking in Unity Catalog.
- Intermediate knowledge of Enterprise Data Governance Methodologies and Data Cataloging Tools (e.g., Atlan, Colibra, Reltio).
- Advanced technical expertise in SaaS AWS Cloud Infrastructure, including SE, EC2, Lambda, Glue, Redshift.
- Intermediate abilities in Data Modeling and Warehouse Infrastructure Architecture.
- Advanced knowledge and abilities in Data Modeling, Data Integration Development, DevOps and Data Governance.
Compensation
- The base pay range for this position is $172,000 - $245,000 annually.
- The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location.
Benefits
- Effectively contributes highly developed analytical skills, conceptual thinking and integrative vision required to drive customer needs, business performance and risk management.
This listing is sourced directly from Exel's careers page and normalized into a canonical job model.