Do you want to join a leading artificial intelligence solutions provider? Stradigi AI is looking for an Application Architect to join our growing team. In this role, you will be responsible for the microservices architecture of Kepler. Your focus will be to create scalable solutions by sharing your vision and expertise on software architecture. You will work closely with a team of Back-end Developers and when making technical decisions, with our Data Application Architect and AI Application Architect.

 

Responsibilities:

In conjunction with the Data Application Architect and AI Application Architect,

  •  Maintain, improve and develop scalable architectures for Stradigi AI products; 
  • Make sure the architecture meets security and data protection standards for an AI platform. Flag potential risks and defects and propose pragmatic solutions considering best engineering practices, feasibility and cost;
  • Actively contribute to prototypes and software development when needed; 
  • Analyze business needs and contribute with thes PO team to properly size and plan our roadmap; 
  • Ensure seamless integration of new and existing systems to eliminate potential problems and maintain data structure and integrity; 
  • Mentor and provide technical support to help grow our team of software developers; 
  • Evaluate and recommend new software technologies; 
  • Create technical documents relating to application architecture, design steps, integration processes and testing procedures relating to each product developed; 
  • Ensure all necessary application architecture content is documented and available; 
  • Work closely with Architects, Tech leads, Software Developers, POs and other team members to ensure successful production of application software. 

 

Skills:

  • Bachelor's degree in computer science or a related area; 
  • 10+ years of experience in software development and web-based technologies; 
  • 5+ years of experience in an architecture role;
  • Experience working as an architect in an AI or Big Data Analytics SAAS platform in production;
  • Experience working in Cloud Services providers (AWS, Azure, Google Cloud);
  • Strong experience with Microservices architecture;
  • Knowledge of REST, Node JS.  Python, Kubernetes, SQL and NoSQL databases, including but not limited too Postgres, Mongo and ElasticSearch; 
  • Strong verbal and written communication skills as well as interpersonal skills;
  • Leadership skills;
  • Comfortable working with multidisciplinary teams;
  • Able to provide solutions as quick turnarounds when needed;
  • Ability to multitask across different projects;
  • Experience delivering AI products is a strong asset.

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