Gapblue - Solution Architect - Artificial Intelligence/Machine Learning

Key Responsibilities - Architect and design AI-driven solutions that address client needs, with a focus on Generative AI models. - Translate business requirements into robust, scalable technical architectures. - Provide technical leadership across all project phases, from solution design to implementation and deployment. - Collaborate with clients to understand their challenges and define tailored AI solutions. - Lead the integration of AI models into existing platforms, ensuring seamless deployment and system performance. - Work closely with development teams to ensure adherence to best practices and the successful execution of project deliverables. - Ensure the security, scalability, and maintainability of AI applications. - Stay ahead of technology trends in the AI and ML space, integrating new approaches and techniques where applicable. - Act as the primary point of contact for technical discussions, solution validation, and troubleshooting with clients. - Mentor and guide engineering teams to enhance their skills in AI architecture, solution design, and best practices. - Create and maintain architecture documentation and provide continuous feedback to improve solution designs. - Engage in pre-sales activities, offering technical expertise to prospective clients and contributing to proposal development. - Ensure all AI systems comply with regulatory, security, and business standards. - Work with cross-functional teams to evaluate and recommend technologies, platforms, and tools that enhance AI Qualifications and Experience - B.Tech or MCA graduates preferred. - 8-10 years in designing and implementing technical solutions, with at least 2 years of experience in AI or related fields. - Strong background in solution architecture, designing scalable and high-performance systems. - Experience in working with AI/ML frameworks such as TensorFlow, PyTorch, or similar. - Familiarity with languages and technologies like NodeJS, Python, Angular, MongoDB, and Redis. - Solid understanding of agile methodologies and ability to work in a fast-paced, iterative environment. - Strong client-facing skills with the ability to present complex technical information in a clear and concise manner. - Excellent problem-solving, analytical, and troubleshooting Qualifications - Experience in Generative AI technologies, including working with models like GPT, DALL-E, or BERT. - Experience in cloud architectures, including Azure, AWS, or GCP, particularly in deploying AI solutions at scale. - Proven experience in leading multiple teams and ensuring seamless project delivery. - A background in AI ethics, model governance, or regulatory compliance (ref:hirist.tech)

Location: ernakulam, IN

Posted Date: 5/6/2025