Applied AI Analyst – INTL India- e0701463
Insight Global · Raleigh, NC
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Jul 23, 2026
Raleigh, NC
Jul 25, 2026
What this job asks for AI summary
A hands-on individual contributor role within a bank's Applied AI team, focused on building, testing, and documenting data science, machine learning, and generative AI solutions across their full lifecycle — from data preparation and prototyping through to implementation readiness. The work spans traditional ML and LLM-based use cases, with an emphasis on evaluation, governance, and reusable engineering practices. Suits a practitioner with solid Python and SQL skills and end-to-end ML delivery experience who is looking to deepen their craft under senior guidance.
Mid level · 4+ years · Bachelor's required
“or” means any one of them counts — you don't need all of them.
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 $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting references an 'India delivery lead' and collaboration with 'U.S. teams via structured handoffs,' strongly indicating this role is based in India, not the United States. The US-based flag is set to false accordingly; no CBSA is applicable.
The internal level designation 'P4' appears in the title. First Citizens' P4 maps to a mid-level individual contributor; the 4-year experience requirement and scope (executing defined use cases under senior P5 guidance) support a Mid seniority classification despite the 'Analyst' title carrying no standard level word.
The posting is staffed through Insight Global (a staffing firm) on behalf of First Citizens Bank; employment type is not explicitly stated.
LLMs are listed in the requirements section with Claude and Cortex cited as examples — these are captured as alternatives since any LLM platform satisfying the requirement would be acceptable.
Snowflake is explicitly flagged as 'preferred' in the posting; Streamlit appears as an illustrative example of ML deployment experience ('e.g., Streamlit') rather than a hard gate, so both are marked preferred.
The alt SOC 15-1252 (Software Developers) is noted because the role involves significant hands-on solution building, ML deployment, and engineering practices — but the primary emphasis on data science, ML modeling, and GenAI evaluation tips the classification toward 15-2051 Data Scientists.
Read the full posting
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