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.