Enterprise ML Solutions Architect - Scalable MLOps

U.S. Bank

Charlotte (NC)

Hybrid

USD 139,000 - 164,000

Full time

24 hours ago
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Benefits offered by this job

Healthcare (medical, dental, vision)
401(k) and retirement plan
Paid vacation

Job summary

U.S. Bank is seeking an Emerging Technology Solutions Architect – Machine Learning to evaluate, design, and guide adoption of ML technologies across the enterprise.

You will lead scalable ML architectures, orchestrate the end‑to‑end ML lifecycle, and drive responsible AI governance with data science and engineering teams. The role requires strong communication, cloud experience, and hands‑on design capabilities to translate complex concepts into actionable enterprise solutions and scalable

Qualifications

  • Bachelor’s degree or equivalent work experience.
  • Eight (8)+ years in software/ML data engineering, architecture or related roles.
  • Experience designing and deploying production ML systems in cloud environments.

Responsibilities

  • Evaluate emerging ML technologies and platforms for enterprise adoption.
  • Define scalable architectures for the ML lifecycle (ingestion to deployment).
  • Lead MLOps practices: CI/CD, monitoring, governance, retraining.
  • Partner with data scientists and engineers to operationalize models at scale.
  • Provide leadership on ML architecture and production deployment strategies.

Skills

ML architectures
Cloud deployment
MLOps
Data science collaboration
Stakeholder alignment
Communication

Education

Bachelor’s degree or equivalent

Tools

Azure Machine Learning
AWS SageMaker
Databricks

Job description

U.S. Bank is seeking an Emerging Technology Solutions Architect – Machine Learning to evaluate, design, and guide adoption of ML technologies across the enterprise.

You will lead scalable ML architectures, orchestrate the end‑to‑end ML lifecycle, and drive responsible AI governance with data science and engineering teams. The role requires strong communication, cloud experience, and hands‑on design capabilities to translate complex concepts into actionable enterprise solutions and scalable

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