CT Senior Software Engineering with AI at EY
Baton Rouge, LA
$134,200–$258,300from the description
Aug 10, 2026
Baton Rouge, LA
Sep 24, 2026
What this job asks for AI summary
A senior software/platform engineering role at EY focused on AI-forward development, including building and fine-tuning LLMs, designing agentic AI systems, and delivering data-intensive solutions. The position carries a player-coach dimension — hands-on coding, debugging, and architecture alongside technical leadership of a medium-to-large product team. Candidates with 10+ years of experience in C#, Java, or Python and strong data and AI/ML engineering backgrounds are the target profile.
Senior level · 10+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 6 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $170,499 (middle half $133,523–$210,499). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 12, 2026. It is a model, not a headcount.
Why we read it this way (9)
The job title is not specified in the posting; 'Unspecified' is used for advertised seniority accordingly.
The role is posted as US-wide with a separate salary band called out for New York City Metro Area, Washington State, and California (excluding Sacramento): $161,000–$293,500. The primary US-wide range ($134,200–$258,300) is captured in the compensation fields.
The bachelor's degree is listed as 'preferred,' not required, so the degree requirement is set to None.
C#/Java/Python are listed as 'one or more of' — C# is used as the primary skill name with Java and Python as alternatives. Similarly, Data Modeling, OLTP, OLAP, and NoSQL are listed as 'one or more of' — Data Modeling is primary with the others as alternatives.
GitHub and Azure DevOps (ADO) are listed together as CI/CD tooling examples; GitHub is primary with Azure DevOps as an alternative.
LLM fine-tuning, embedding models, agentic AI systems, and AI evaluation frameworks are listed in the main requirements block with firm language and are treated as hard gates, even though they read as specialized AI skills.
Kubernetes and Docker appear under the 'Ideally, you'll also' section and are marked as preferred.
Databricks, Azure Data Services, and Microsoft Fabric appear under 'Ideally, you'll also' and are marked as preferred. 'Azure Data Services' is captured under the canonical 'Azure' skill name.
The alternative occupation code reflects the significant data modeling, OLTP/OLAP/NoSQL, and data lineage emphasis, which could point toward a Data/Database Architect classification.
Read the full posting
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