GM Financial

Solution Architect II – GenAI

GM Financial

full-time

Posted on:

Location Type: Hybrid

Location: Irving • Texas • United States

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Tech Stack

AWSAzureCloudGoogle Cloud PlatformJavaPythonPyTorchTensorflow

About the role

  • Serve as a key technical expert across multi‑disciplinary project teams, including AI/ML and cloud initiatives.
  • Own roadmaps and strategies for assigned technology domains, with a focus on AI/ML and Generative AI adoption.
  • Partner with internal and external stakeholders to understand requirements and deliver needed technical artifacts.
  • Design and deliver AI‑powered infrastructure solutions using Azure AI, Databricks, and GenAI frameworks.
  • Develop technical strategies and act as SME for AI/ML, cloud, and data architecture throughout solution design and delivery.
  • Document infrastructure and AI solution designs to GMF standards and lead them through formal review.
  • Contribute to RFP/SOW development and support vendor evaluation for AI and cloud technologies.
  • Shape short‑ and long‑term AI and cloud infrastructure strategies across the IT portfolio.
  • Advise teams on GMF standards, security requirements, methodologies, and AI/data governance practices.
  • Estimate architecture effort and review/approve AI and infrastructure designs for project teams.
  • Communicate and validate solution architectures with leadership, executive stakeholders, and enterprise architects.

Requirements

  • 2-4 years of relevant experience in AI/ML solution architecture, cloud platforms, and data engineering required
  • High School Diploma or equivalent required
  • Bachelor’s Degree in related field or equivalent experience preferred
  • Deep expertise in AI/ML and GenAI — including LLMs, diffusion models, deep learning, NLP, and AI‑driven automation.
  • Strong technical foundation with Python/Java/C++, major AI frameworks (TensorFlow, PyTorch, Hugging Face), and large‑scale AI solution design (data ingestion, processing, deployment).
  • Cloud and platform proficiency, especially Azure AI, Azure ML, Databricks, and experience deploying AI models across Azure/AWS/GCP with solid knowledge of data engineering and MLOps practices.
  • Excellent problem‑solving and collaboration skills, able to break down complex challenges, communicate effectively across teams, and stay current with emerging AI and cloud technologies.
Benefits
  • Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI/ML solution architecturedata engineeringPythonJavaC++TensorFlowPyTorchHugging FaceMLOpslarge-scale AI solution design
Soft skills
problem-solvingcollaborationcommunication
Certifications
Bachelor’s Degree