
AI Architect
67 days left
Apply Now
AI Architect
67 days left
Apply NowJob role insights
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Date posted
February 9, 2026
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Closing date
February 9, 2026
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Salary
$12,500 - $17,500 /month
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Career level
Senior
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Qualification
Doctorate Degree
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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.).
