AI Architect

AI/ML Solutions Architect (GenAI & RAG)

Grand Rapids, MI

Full Time

Overview / Summary

We are seeking an experienced AI/ML Solutions Architect with 10+ years of software engineering and/or data science experience, including 3–5+ years in AI/ML architecture roles. The role is responsible for defining AI/ML architecture strategy, designing end-to-end AI solutions, and leading architecture initiatives across Generative AI, LLMs, machine learning, and data platforms.

Key ResponsibilitiesDefine and drive the AI/ML architecture strategy across the organization.Design end-to-end AI solutions.Lead architecture for Generative AI, LLMs, and traditional machine learning models.Design scalable data pipelines and real-time/streaming architectures.Establish MLOps practices for model versioning, deployment, and monitoring.Collaborate with AI and Data teams to define and promote best practices in AI system design.Evaluate emerging AI technologies and define adoption strategies.Required Qualifications10+ years of experience in software engineering and/or data science.3–5+ years of experience 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 and Generative AI (GPT, Llama, etc.).Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn.Experience with cloud platforms including AWS, Azure, and Google Cloud Platform AI services.Strong knowledge of data engineering, including ETL pipelines, data lakes, and streaming architectures.Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, and Vertex AI.Understanding of APIs, microservices, and distributed systems.Knowledge of vector databases.Experience with DevOps/CI-CD pipelines for machine learning.Exposure to AI governance and compliance