AI Engineer
PwC · Salt Lake City, UT
$50,500–$112,500from the description
Jul 27, 2026
Salt Lake City, UT
Jul 29, 2026
What this job asks for AI summary
An AI Engineer role at PwC's Internal Firm Services practice, focused on building and deploying AI/ML systems that turn raw data into actionable insights. The work spans designing AI architectures, developing machine learning models, building data pipelines, and applying NLP and deep learning techniques. Framed as an "Associate"-level position, it suits early-career engineers looking to grow their AI and software engineering skills within a large professional services firm.
Junior level · 1+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 9 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
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). 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 Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (5)
The posting's title is 'AI Engineer' with no seniority modifier; PwC's internal framing of 'Associate' and the minimum of 1 year of experience place this firmly at the Junior level despite the broad salary range ($50,500–$112,500/year), which likely reflects geographic variation across PwC's many US offices.
No specific work location is stated; the role appears to be US-based but the posting does not name a city or metro, so no CBSA could be assigned.
Python, TensorFlow, and NLTK appear in the 'Responsibilities' section with firm language ('Developing scalable machine learning models using Python and TensorFlow', 'Utilizing natural language processing tools like NLTK'), treating them as hard requirements. All other technologies (LangGraph, LLMs, LLaMA/Mistral/Gemma, cloud certifications, Scikit-Learn) appear under the 'What Sets You Apart' section, which is a differentiator/preferred block.
The degree requirement is a Bachelor's; however, the posting explicitly allows substitution of three additional years of specialized experience per missing year of college. Because the JD does offer an experience-in-lieu path, this is a borderline call — the degree requirement is set to Bachelors since the JD does frame a degree as the baseline, but hiring managers should note the substitution clause.
SOC classification is Medium confidence: the role blends software engineering (building/deploying AI systems, data pipelines) with data science (ML modeling, NLP, deep learning). The primary day-to-day emphasis on building and deploying software systems tips it toward 15-1252 Software Developers over 15-2051 Data Scientists.
Read the full posting
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