Agentic AI Architect
Richfield, Minnesota, United States of America
Contract
2 days ago
Key skills
PythonAIMachine LearningMLDeep LearningNLPGenerative AIRAGAgenticPyTorchTensorFlowscikit-learnPandasNumPyMLOpsKerasSparkHadoopAWSAzureGoogle CloudKubernetesDockerCI/CDLeadership
About this role
Job Title: Agentic AI Architect
Location: Richfield, MN
Duration: Long-term Contract
Role Overview
- We are looking for a highly skilled AI Engineer / Architect to design, develop, and deploy scalable AI and Machine Learning solutions. The ideal candidate will have strong expertise in ML algorithms, deep learning, data pipelines, and production-grade AI systems, along with the ability to translate business problems into AI-driven solutions.
Key Responsibilities
- Design and architect end-to-end AI/ML solutions aligned with business goals
- Develop, train, and optimize Machine Learning and Deep Learning models
- Build scalable data pipelines and model deployment frameworks
- Lead model lifecycle management (training, validation, deployment, monitoring)
- Work with large datasets and perform feature engineering and data preprocessing
- Collaborate with cross-functional teams (data engineers, product managers, DevOps)
- Ensure model performance, scalability, and reliability in production environments
- Stay updated with latest advancements in AI/ML and recommend adoption strategies
- Provide technical leadership and mentor junior engineers
Required Skills & Qualifications
- Strong understanding of Machine Learning algorithms (supervised, unsupervised, reinforcement learning)
- Experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras)
- Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn)
- Experience in model deployment (Docker, Kubernetes, REST APIs)
- Knowledge of MLOps practices and tools (CI/CD, model versioning, monitoring)
- Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform AI services)
- Strong understanding of data structures, algorithms, and system design
- Experience working with big data technologies (Spark, Hadoop) is a plus
Preferred Qualifications
- Experience with Generative AI / LLMs (e.g., transformers, NLP models)
- Knowledge of vector databases, embeddings, and RAG architectures
- Exposure to AI governance, ethics, and responsible AI practices
- Prior experience in architecting enterprise-scale AI solutions