AWS AI Architect

4 weeks ago


Reston, Virginia, United States Marathon TS Full time

Marathon TS is seeking a highly skilled AWS AI Architect to design and implement innovative cloud solutions that leverage the power of AI and machine learning.

You will be part of a cross-functional team working on cutting-edge projects in various domains, such as healthcare, climate, energy, and finance. Your responsibilities will include designing and developing reusable cloud architectures that improve developer experience (DX) and accelerate differentiated vertical solution delivery.

Key Responsibilities:

  • Design and implement scalable and secure AI-enabled cloud platforms that enhance developer experience (DX) and accelerate vertical solution delivery.
  • Ensure the security, scalability, reliability, and availability of cloud solutions using cloud-native tools and services.
  • Integrate and deploy AI and machine learning models and frameworks using cloud-based platforms and services.
  • Introduce CI/CD pipelines that provide rapid feedback and allow continuous development and delivery.
  • Optimize and monitor the performance, cost, and efficiency of cloud solutions using cloud-based tools and services.
  • Collaborate with other engineers, data scientists, product managers, and stakeholders to understand business needs and deliver high-quality cloud solutions.
  • Research and evaluate new technologies and best practices in AI and cloud computing and share knowledge and insights with the team.

Required Qualifications and Experience:

  • Bachelor's degree in Computer Science, Engineering, or other related scientific or technical discipline.
  • At least 5 years of experience in software engineering with a focus on cloud development.
  • Proficient in one or more programming languages including Python, Java, C, Angular, React.
  • At least 3 years of experience with AWS.
  • At least 2 years of experience in integrating and deploying AI and machine learning models and frameworks using cloud-based platforms and services.
  • At least 2 years of experience using AI and machine learning concepts and techniques.

Preferred Qualifications and Experience:

  • Previous experience as a hands-on CTO.
  • Full-stack development experience.
  • Experience in designing and implementing cloud architectures that support AI and machine learning applications using cloud-native tools and services.
  • Experience in optimizing and monitoring the performance, cost, and efficiency of cloud solutions using cloud-based tools and services.
  • Excellent communication, collaboration, and problem-solving skills.
  • Passion for learning and innovation.

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