S4 Technologies Inc. is seeking a highly skilled AI Architect to perform duties requiring the theoretical and practical application of specialized knowledge in artificial intelligence, machine learning, data architecture, and scalable system design. This position qualifies as a specialty occupation and requires a minimum of a Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a closely related field.

Detailed Job Duties
The AI Architect will perform the following duties:

Design and architect end-to-end AI and machine learning solutions aligned with business objectives
Define system architecture for scalable AI platforms, including data pipelines, model training, and deployment frameworks
Lead the development and implementation of machine learning and deep learning models
Evaluate and select appropriate algorithms, tools, and technologies for AI solutions
Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions
Design and oversee integration of AI systems with existing enterprise applications
Establish best practices for model development, validation, deployment, and monitoring
Ensure performance, scalability, security, and reliability of AI systems
Guide teams on MLOps practices, including CI/CD for machine learning models
Stay updated with advancements in AI/ML technologies and recommend adoption strategies
Maintain technical documentation including architecture diagrams, workflows, and model specifications

Minimum Qualifications

Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (or foreign equivalent)
Strong understanding of machine learning, deep learning, and statistical modeling
Experience with programming languages such as Python or Java
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Experience designing scalable systems and data architectures
Strong problem-solving and analytical skills

Preferred Qualifications

Experience with NLP, computer vision, or generative AI
Familiarity with big data technologies such as Spark or Hadoop
Experience with cloud platforms such as AWS, Azure, or GCP
Knowledge of MLOps and model deployment pipelines
Experience with Docker, Kubernetes, or containerization tools
Experience leading technical teams or architecture design initiatives

Work Location

Primary work location: Wixom, MI
Employee may be assigned to client locations or hybrid environments based on business needs