Required Skills: TensorFlow, PyTorch, Keras, Python, Java, AWS, Google Cloud, Azure
Job Description
Role: Solution Architect AI
Location Required: Atlanta, GA (Onsite)
Job Summary –
An AI Solution Architect is responsible for designing and implementing artificial intelligence solutions that align with business goals. Here are the key responsibilities and skills typically associated with this role.
Responsibilities
- Requirement Analysis: Identify and analyze business requirements to translate them into AI system requirements.
- AI Model Design: Design, build, and test AI models to ensure they meet business needs.
- Implementation: Oversee the deployment of AI solutions, ensuring they are scalable and reliable.
- Collaboration: Work closely with data scientists, engineers, and business stakeholders to integrate AI solutions effectively.
- Optimization: Continuously evaluate and optimize AI systems for performance and efficiency.
- Documentation: Document AI architectures and solutions for future reference and maintenance.
- Compliance: Ensure AI solutions comply with data privacy and protection regulations.
- Leadership: Provide technical leadership and guidance on AI matters.
Years of experience needed –
Technical Skills:
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Programming: Proficiency in languages such as Python, Java, and R.
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AI/ML Frameworks: Experience with frameworks like TensorFlow, PyTorch, or Keras.
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Cloud Platforms: Knowledge of cloud services like AWS, Google Cloud, or Azure.
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Problem-Solving: Strong analytical and problem-solving skills.
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Communication: Ability to explain complex AI concepts to non-technical stakeholders.
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Project Management: Skills to manage AI projects from conception to deployment.