AI/ML Solutions Architect

Role: AI/ML Solutions Architect
Location: Grand Rapids, MI (Onsite)
Job Type: Full-Time

Job Description:
We are seeking an experienced AI/ML Solutions Architect to lead the design and implementation of enterprise AI solutions. The ideal candidate will have strong expertise in Generative AI, LLMs, RAG, AI architecture, MLOps, and cloud AI platforms with a proven track record of building scalable AI systems.

Required Skills:
Generative AI (GenAI)
Large Language Models (LLMs – GPT, Llama, Claude)
Retrieval-Augmented Generation (RAG)
AI/ML Solution Architecture
Python
TensorFlow / PyTorch / Scikit-learn
MLOps (MLflow, Kubeflow, SageMaker, Vertex AI)
AWS, Azure & Google Cloud Platform AI Services
Data Engineering (ETL, Data Lakes, Streaming)
Vector Databases (Pinecone, Weaviate, Chroma, FAISS)
APIs, Microservices & Distributed Systems
CI/CD & DevOps for ML
Code Generation Tools (GitHub Copilot, Cursor, Claude Code)

Responsibilities:
Design and implement enterprise AI/ML architectures.
Build scalable GenAI and RAG-based solutions.
Develop AI systems using LLMs and modern ML frameworks.
Establish MLOps practices for deployment, monitoring, and model lifecycle management.
Design data pipelines and AI infrastructure on cloud platforms.
Collaborate with cross-functional teams to deliver AI-driven solutions.
Evaluate emerging AI technologies and define architecture best practices.

Qualifications:
10+ years of software engineering and/or data science experience.
3–5+ years of AI/ML architecture experience.
Strong expertise in GenAI, LLMs, RAG, NLP, and deep learning.
Hands-on experience with cloud AI services and scalable AI platforms.
Excellent communication and solution architecture skills.