AI/ML Architect (Generative AI & LLMs)

Hybrid in Grand Rapids, MI, US • Posted 1 day ago • Updated 1 day ago
Full Time
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Artificial Intelligence
  • Amazon Web Services
  • Amazon SageMaker
  • Data Science
  • Deep Learning
  • DevOps
  • Extract, Transform, Load
  • Generative Artificial Intelligence (AI)
  • Machine Learning (ML)
  • MI
  • Machine Learning Operations (ML Ops)
  • PyTorch
  • Python
  • TensorFlow
  • Vertex
  • Microsoft Azure
  • Google Cloud Platform
  • Cloud Computing
  • Microservices

Summary

AI/ML Architect (Generative AI & LLMs)

Full Time

Grand Rapids, MI (Hybrid)

We are seeking an experienced AI/ML Architect to lead the design and delivery of scalable AI solutions across the organization. The role focuses on building and governing architecture for Generative AI, LLMs, and traditional machine learning systems, while defining best practices for MLOps, data pipelines, and AI system design.

Required Qualifications

  • Total 10+ years in software engineering / data science, with 3–5+ years in AI/ML architecture roles
  • Strong experience in AI/ML architecture and system design
  • Strong experience with RAG (Retrieval-Augmented Generation)
  • Expertise in machine learning, deep learning, and NLP
  • Hands-on experience with LLMs / Generative AI (e.g., GPT, Llama)
  • Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform AI services)
  • Strong knowledge of data engineering (ETL pipelines, data lakes, streaming)
  • Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)
  • Understanding of APIs, microservices, and distributed systems
  • Knowledge of vector databases
  • Experience with DevOps / CI-CD pipelines for ML
  • Exposure to AI governance and compliance

Key Responsibilities

  • Define and drive the AI/ML architecture strategy across the organization
  • Design end-to-end AI solutions, including GenAI, LLMs, and traditional ML models
  • Lead architecture design for scalable data pipelines and real-time/streaming systems
  • Establish and implement MLOps practices for model versioning, deployment, and monitoring
  • Collaborate with AI and Data teams to define best practices in AI system design
  • Evaluate emerging AI technologies and define adoption strategies
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10354711
  • Position Id: 8953035
  • Posted 1 day ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Hybrid in Grand Rapids, Michigan

3d ago

Easy Apply

Full-time

Depends on Experience

Grand Rapids, Michigan

Today

Full-time

Hybrid in Grand Rapids, Michigan

Yesterday

Easy Apply

Contract

Depends on Experience

Grand Rapids, Michigan

10d ago

Easy Apply

Full-time

100,000 - 120,000

Search all similar jobs