Position Overview:
As a Quinite Senior AI Solutions Architect, you will spearhead the architecture and design processes for cross-business area projects and lead development teams focused on cutting-edge AI applications. Your role involves identifying and exploring optimal frameworks, NLP tools, Virtual Assistant (VA) platforms, and tech stacks to create innovative solutions. Seamless integration between components is a key focus.
Technical Expertise:
- Full Stack Proficiency: Develop applications using the MEAN stack (MongoDB, Express.js, AngularJS, Node.js).
- UI Mastery: Understand and implement UI technologies like HTML, JavaScript, and jQuery.
- VA Tools Hands-On: Work with VA tools such as Microsoft Bot Framework, Google Dialogflow, RASA, Amazon Lex (minimum 2 tools).
- Additional Knowledge:
- Embrace technologies like Big Data, LAMP (Linux, Apache, MySQL, PHP), DevOps, and PaaS.
- Navigate Custom Frameworks, Spring-related technologies, UML, Object-Oriented Design, Spring Boot, Microservices, and JEE Architecture.
- Cloud Expertise: AWS/Azure/Google.
- AI/ML Enthusiast.
Professional Attributes:
- Team Leadership: Demonstrate effective team management.
- Communication Prowess: Exhibit strong verbal and written communication skills.
- Analytical Excellence: Showcase problem-solving skills with an analytical mindset.
- Collaborative Spirit: Collaborate effectively across diverse teams.
- Adaptability: Thrive in a dynamic and fast-paced environment.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven experience in AI application development and architecture.