Principal Architect; AI/ML - Startup/MERN Stack

As a highly skilled Principal Architect (AI/ML) at a Startup with expertise in MERN Stack, your role will involve designing and leading scalable, innovative technology solutions to drive business transformation. Your deep understanding of scalable Cloud Architectures, APIs, Dev Ops methodologies, and commitment to staying current with AI/ML advancements will be crucial. Your main focus will be on ensuring data interoperability across various systems and platforms. Key Responsibilities: - Architect and design complex, scalable workflows and solutions aligning with business needs and technology goals. - Develop cloud-native architectures to ensure scalability, performance, and security for enterprise applications. - Lead initiatives to enhance data interoperability for seamless integration of systems and efficient data exchange across diverse platforms. - Design and implement robust APIs to enable effective system integration, scalability, and data flow. - Advocate for and implement Dev Ops best practices, including CI/CD pipelines, infrastructure automation, and operational excellence. - Stay updated with emerging technologies, especially in AI/ML, and integrate them into enterprise solutions for driving innovation. - Collaborate with key stakeholders such as the CTO, product, and engineering teams to deliver architectural solutions meeting technical and business requirements. - Conduct architectural reviews and ensure alignment with enterprise technology standards. - Mentor and guide engineering teams in implementing best practices and continuous improvements. - Work cross-functionally to integrate new solutions into the existing infrastructure, focusing on data integrity and system compatibility. - Ensure compliance with relevant regulations and industry standards, particularly in the Utilities and Telecom industries. Good to have: - Bachelor's or Masters degree in Computer Science, Engineering, or a related field. - 8-10 years of experience in software architecture, specializing in cloud-native architectures and data integration strategies. - Strong expertise in at least one major cloud platform (e.g., AWS, Azure, Google Cloud) and multi-cloud strategies. - Proficiency in Dev Ops tools and practices (e.g., Docker, Kubernetes, Jenkins, Terraform) with an emphasis on automation and infrastructure-as-code. - Experience with AI/ML frameworks and the ability to integrate machine learning solutions into enterprise architectures. - Proven track record with data interoperability frameworks and tools to ensure seamless data flow between different systems. - Experience in Utilities or Telecom industry is considered a strong advantage. As a highly skilled Principal Architect (AI/ML) at a Startup with expertise in MERN Stack, your role will involve designing and leading scalable, innovative technology solutions to drive business transformation. Your deep understanding of scalable Cloud Architectures, APIs, Dev Ops methodologies, and commitment to staying current with AI/ML advancements will be crucial. Your main focus will be on ensuring data interoperability across various systems and platforms. Key Responsibilities: - Architect and design complex, scalable workflows and solutions aligning with business needs and technology goals. - Develop cloud-native architectures to ensure scalability, performance, and security for enterprise applications. - Lead initiatives to enhance data interoperability for seamless integration of systems and efficient data exchange across diverse platforms. - Design and implement robust APIs to enable effective system integration, scalability, and data flow. - Advocate for and implement Dev Ops best practices, including CI/CD pipelines, infrastructure automation, and operational excellence. - Stay updated with emerging technologies, especially in AI/ML, and integrate them into enterprise solutions for driving innovation. - Collaborate with key stakeholders such as the CTO, product, and engineering teams to deliver architectural solutions meeting technical and business requirements. - Conduct architectural reviews and ensure alignment with enterprise technology standards. - Mentor and guide engineering teams in implementing best practices and continuous improvements. - Work cross-functionally to integrate new solutions into the existing infrastructure, focusing on data integrity and system compatibility. - Ensure compliance with relevant regulations and industry standards, particularly in the Utilities and Telecom industries. Good to have: - Bachelor's or Masters degree in Computer Science, Engineering, or a related field. - 8-10 years of experience in software architecture, specializing in cloud-native architectures and data integration strategies. - Strong expertise in at least one major cloud platform (e.g., AWS, Azure, Google Cloud) and multi-cloud strategies. - Proficiency in Dev Ops tools and practices (e.g., Docker, Kubernetes, Jenkins, Terraform) with an emphasis on automation