Elsevier
AI Software Engineering Lead
Philadelphia, PA, USA
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). 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
$20,424 more — $135,824 — 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 $135,824 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) · Philadelphia-Camden-Wilmington, PA-NJ-DE-MD. 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
Green-card intent detected
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
- This position serves as a subject matter expert for a specific team of Software Engineers.
- In addition to writing code on complex systems and applications, this position provides direction on project plans, schedules, and methodologies.
Responsibilities
- Driving and owning the technical strategy and execution for the CK AI Service, including the design and governance of retrieval-augmented generation (RAG) workflows and API expansion.
- Establishing a sustainable leadership model to support the planned division and growth of the team.
- Collaborating with our Data Science team to help drive product road map and feature design forward.
- In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work.
Requirements
- Established track record of creating high-performing, collaborative team environments and reducing knowledge silos
- Deep expertise in designing and delivering distributed systems and APIs at scale
- Ability to define and execute technical strategies, balancing short-term delivery with long-term platform sustainability
- Experience with microservices architecture, API design, and system integration
- Proven ability to identify and eliminate single points of failure and improve system resilience
- Ability to govern and standardize AI patterns, including evaluation, observability, and performance optimization
Compensation
- $115,400 - $192,300.
- Geographic differentials may apply in some locations to better reflect local market rates.If performed in New Jersey, the base pay range is $130,284 - $208,116.This job is eligible for an annual incentive bonus.
Benefits
- Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services.
- We are delighted to offer country specific benefits.
- Click here to access benefits specific to your location.
Company info
- We are committed to providing a fair and accessible hiring process.
Equal opportunity
- EEO Know Your Rights.
- If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Visa & Work Authorization
- are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientat
This listing is sourced directly from Elsevier's careers page and normalized into a canonical job model.