GenAI Architect

0 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Location:


Job Summary:


Key Responsibilities:


  • Design and develop AI and Generative AI architecture solutions that meet business requirements.
  • Be hands-on in coding, prototyping, and testing solutions.
  • Collaborate with stakeholders to understand their needs and translate them into technical specifications.
  • Apply AI solutions across various industries and business functions
  • Help create solutions during RFP process
  • Develop versatile AI models that can be adapted for multiple use cases
  • Lead the technical design and development of AI/Gen AI-powered projects.
  • Integrate and enhance existing tools and systems to leverage AI/Gen AI capabilities
  • Develop and implement APIs for seamless integration with legacy and SaaS applications
  • Ensure compliance with industry standards and best practices during integration
  • Ensure the scalability, performance, and security of solutions.
  • Provide technical guidance and mentorship to development teams.
  • Conduct code reviews and ensure adherence to best practices and coding standards.
  • Stay updated with the latest industry trends and technologies.
  • Troubleshoot and resolve technical issues as they arise.
  • Document technical designs and processes.


Qualifications:


  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Technical Architect or similar role.
  • Strong knowledge of AI, Machine Learning, and Generative AI technologies.
  • Proficiency in one or more of following programming languages Java, C++, Python, R
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills.
  • Ability to work effectively in a collaborative team environment.
  • Strong domain understanding
  • Experience with microservices architecture.
  • Knowledge of DevOps practices and tools.


Preferred Qualifications:


  • Certification in relevant technologies or frameworks.
  • Experience with Natural Language Processing (NLP) and Computer Vision.

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