Senior Software Architect - Data Platform & AI/ML

GE Aerospace

Remote Actively hiring Verified listing
Evendale, US · Remote Posted 9 days ago $131,000–$131,000 / year
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At a glance

AI generated

TL;DR

Join the Commercial Engine Services Business Intelligence team as a Senior Software Architect and help build AI-enabled analytics solutions that accelerate problem-solving and decision-making in commercial and operational domains. You will architect data pipelines for raw operational data transformation into analytics-ready datasets, establish secure development workflows, and develop production applications used daily by teams. Responsibilities include defining end-to-end data platform architecture, implementing scalable AI solutions, building CI/CD pipelines, and mentoring junior developers. Required skills encompass expertise in Python, Java, C#, TypeScript, cloud platforms like AWS and Databricks, and experience with ML workflows and feature engineering. Ideal candidates have a background in supply chain or manufacturing solutions and can translate technical capabilities into business outcomes, ensuring alignment between AI capabilities and business needs.

Skills

Python Java AWS Databricks Snowflake BigQuery Redshift SQL GitHub CI/CD LLM ETL ELT Visual Studio Kubernetes Prometheus Grafana MCP TypeScript C#

What you'll do

  • Define end-to-end data platform architecture from ingestion to GenAI development.
  • Implement scalable AI solution architecture spanning ML, NLP, and multimodal systems.
  • Establish secure development workflows including CI/CD pipelines and automated testing.
  • Build production-grade transformation code for raw operational data into analytics datasets.
  • Develop backend APIs and services that power analytics applications with performance optimization.

What we're looking for

  • Minimum 5 years experience in software architecture and data platform development.
  • Proven expertise in building AI/ML models and integrating them into applications.
  • Strong background in cloud data platforms and ETL/ELT patterns.
  • Expert-level skills in SQL, query optimization, and performance tuning.
  • Experience implementing security frameworks and deployment automation.
  • Familiarity with ML workflows, feature engineering, and model deployment.
  • Ability to mentor junior developers on software engineering practices.

Market check

Salary context

This $131,000–$131,000 range sits above 6% of similar postings on FindRole.

Peer median band

$158,400–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$165,852–$235,750

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About GE Aerospace

GE Aerospace (General Electric Aerospace) designs and produces commercial and military jet engines, components, and integrated systems for aircraft manufacturers and airlines worldwide. Industry: Aerospace & Aviation Engines

GE Aerospace currently has 33 open roles on FindRole.

Listed pay typically runs $130,000–$173,000 across 21 roles with salary data.

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View all roles at GE Aerospace

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