AI Architect

67 days left

Apply Now

67 days left

Apply Now

Job role insights

  • Date posted

    February 9, 2026

  • Closing date

    February 9, 2026

  • Salary

    $12,500 - $17,500 /month

  • Career level

    Senior

  • Qualification

    Doctorate Degree

  • Experience

    6 – 9 Years

Description

We are seeking an experienced AI Architect to design and oversee the implementation of advanced artificial intelligence solutions. This role requires a deep understanding of AI frameworks, machine learning models, and scalable architectures. The ideal candidate will work closely with data scientists, engineers, and business leaders to develop AI-driven strategies that enhance business processes and drive innovation.

Key Responsibilities:

  • Design and develop AI architectures, ensuring scalability, efficiency, and reliability.
  • Define AI strategies, frameworks, and best practices for enterprise-wide AI adoption.
  • Lead the selection and integration of AI technologies, including machine learning, deep learning, and natural language processing.
  • Collaborate with data scientists, engineers, and product managers to implement AI models in production environments.
  • Ensure AI solutions align with business objectives and regulatory requirements.
  • Optimize AI workloads for cloud and on-premise deployments.
  • Evaluate emerging AI trends and technologies to drive continuous innovation.
  • Develop governance policies for AI model deployment, monitoring, and maintenance.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 7+ years of experience in AI/ML development and solution architecture.
  • Strong knowledge of AI frameworks (TensorFlow, PyTorch, Keras) and cloud AI services (AWS, Azure, GCP).
  • Experience with MLOps, model deployment, and scaling AI applications.
  • Expertise in programming languages such as Python, Java, or Scala.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication skills with the ability to present complex AI solutions to stakeholders.

Preferred Qualifications:

  • Experience with AI ethics, bias mitigation, and responsible AI principles.
  • Knowledge of edge AI and federated learning techniques.
  • Certification in cloud AI services (AWS Certified Machine Learning, Azure AI Engineer, etc.).
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