What are the responsibilities and job description for the GROUP TECHNICAL MANAGER position at HCL Technologies?
Job Title: Senior Technical Architect - AI & Generative AI Solutions
Location: Canada
Job Type: Full-Time
Job Summary: As a Senior 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.
(1.) Key Responsibilities
1. To architect| design and develop (through Team) solution for product/project & sustenance delivery
2. To bridge the gap between client needs and business goals by gathering requirements, crafting innovative solutions with deep domain/technology expertise, and driving successful implementations that propel strategic initiatives.
3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
4. To review architecture and design deliverables and ensure solutions adhere to industry best practices ,architectural standards simultaneously establish and enforce governance /compliance measures.
5. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated
6. To submit Whitepapers, participate in industry forums and file Patents
Location: Canada
Job Type: Full-Time
Job Summary: As a Senior 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.
(1.) Key Responsibilities
1. To architect| design and develop (through Team) solution for product/project & sustenance delivery
2. To bridge the gap between client needs and business goals by gathering requirements, crafting innovative solutions with deep domain/technology expertise, and driving successful implementations that propel strategic initiatives.
3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
4. To review architecture and design deliverables and ensure solutions adhere to industry best practices ,architectural standards simultaneously establish and enforce governance /compliance measures.
5. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated
6. To submit Whitepapers, participate in industry forums and file Patents
