Freelancing opportunity AI Architect

Iitjobs Inc.; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Iitjobs Inc. is seeking an experienced AI Architect to lead the design, development, and implementation of advanced AI and machine learning solutions. The ideal candidate will have a strong understanding of AI frameworks, scalable architectures, and MLOps while translating business challenges into effective AI strategies.

This role involves collaboration with various teams to identify automation opportunities and ensure compliance with organizational standards. The selected candidate will mentor data scientists to maintain best practices in the implementation of these solutions.

Qualifications

• Deep understanding of AI frameworks and architectures.
• Proven track record of translating business problems into AI solutions.
• Experience leading data scientists and ML engineers.

Responsibilities

• Architect and design end-to-end AI/ML solutions.
• Collaborate with stakeholders to identify AI opportunities.
• Select and evaluate AI frameworks and tools.
• Lead and mentor teams in solution implementation.
• Ensure AI models are compliant with standards.
• Design MLOps pipelines for integration and monitoring.

Skills

AI frameworks

Scalable architectures

Data engineering

MLOps

Cloud platforms (AWS, Azure, GCP)

Job description

We are seeking an experienced AI Architect to lead the design, development, and implementation of advanced artificial intelligence and machine learning solutions. The ideal candidate will have a deep understanding of AI frameworks, scalable architectures, data engineering, and MLOps, along with a proven track record of translating business problems into AI-driven solutions.

Key Responsibilities

• Architect and design end-to-end AI/ML solutions from data ingestion to model deployment and monitoring.
• Collaborate with stakeholders (business, product, data, and engineering teams) to identify opportunities for AI adoption and automation.
• Select and evaluate appropriate AI frameworks, cloud platforms, and tools (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.).
• Lead and mentor data scientists, ML engineers, and developers in solution implementation and best practices.
• Ensure AI models are scalable, secure, explainable, and compliant with organizational and regulatory standards.
• Design MLOps pipelines for continuous integration, deployment, and model monitoring.
• Conduct POCs and feasibility studies to assess new AI technologies and methodologies.
• Collaborate with data engineering teams to define data architecture and ensure data quality, governance, and accessibility.
• Develop and enforce AI architectural standards, design patterns, and documentation.
• Stay abreast of emerging AI trends, tools, and research to keep the organization at the forefront of innovation.