GenAI Architect

Location: Chennai, Hyderabad, Bangalore, Noida

Job Summary: As a Technical Architect, you will be responsible for designing and implementing robust, scalable, and high-performance AI and Generative AI solutions. You will work closely with cross-functional teams to ensure that our technical architecture aligns with business goals and industry best practices.

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.