AI Architect

Role : AI Architect

Location : Remote

Work Type : Part Time

Experience Level : 15+ years

About the Role

We are seeking an experienced AI Architect to design, develop, and implement scalable AI and machine learning solutions across enterprise systems. The role involves defining end-to-end AI architecture, integrating models into production environments, and ensuring data, infrastructure, and application layers work seamlessly together.

The ideal candidate has deep technical expertise in AI / ML frameworks, data engineering, and cloud-based model deployment —with the ability to translate business objectives into AI-driven outcomes.

Key Responsibilities

• Design and implement end-to-end AI architectures , including data ingestion, model training, deployment, and monitoring.
• Define architecture standards and frameworks for AI / ML integration with enterprise systems.
• Collaborate with data scientists, data engineers, and application teams to operationalize ML models.
• Lead selection of tools, frameworks, and technologies for AI infrastructure (TensorFlow, PyTorch, Hugging Face, etc.).
• Architect MLOps pipelines for model lifecycle management, versioning, and CI / CD automation.
• Ensure scalability, security, and performance of deployed AI systems.
• Optimize AI workloads on cloud platforms such as AWS (SageMaker), Azure (ML Studio), or GCP (Vertex AI).
• Establish governance, monitoring, and retraining processes for model accuracy and compliance.
• Guide technical teams and review system designs to ensure architectural consistency.
• Evaluate new technologies and recommend adoption aligned with business goals.

Qualifications