Hybrid Solution Architect II – Data and AI Enablement

Posted 2 hours ago

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About the role

  • Solution Architect II crafting AI-driven solutions at GM Financial. Partnering with various teams to modernize infrastructure and enhance security posture.

Responsibilities

  • Shape the next generation of GMF’s technology ecosystem
  • Partner with Project Managers, Technology Leaders, and Business Solution Architects to craft innovative, AI‑driven solutions
  • Contribute to solution design and define technical requirements
  • Dive deep into compliance, regulatory, and security frameworks
  • Influence how emerging technologies are adopted across the organization

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
  • nine company holidays

Job title

Solution Architect II – Data and AI Enablement

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

High School Diploma

Location requirements

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