Chief Architect (AI/ML/ Data integration) - Startup/ Telecom/ Utility

We are looking for a highly skilled Principal Solutions Architect to design and lead scalable, innovative technology solutions that drive business transformation. The ideal candidate will possess a deep understanding of scalable Cloud Architectures and API’s, the latest DevOps methodologies, and a strong commitment to staying current with AI/ML advancements. A key focus will be on ensuring data interoperability across various systems and platforms. Key Responsibilities: • Architect and design complex, scalable workflows and solutions that align with business needs and technology goals. • Develop cloud-native architectures, ensuring scalability, performance, and security for enterprise applications. • Lead initiatives to improve data interoperability, ensuring seamless integration of systems and enabling efficient data exchange across diverse platforms. • Lead the design and implementation of robust APIs, ensuring that they enable effective system integration, scalability, and data flow. • Advocate for and implement DevOps best practices, including CI/CD pipelines, infrastructure automation, and operational excellence. • Stay up to date with emerging technologies, particularly in AI/ML, and integrate them into enterprise solutions to drive innovation. • Collaborate with key stakeholders, including the CTO, product, and engineering teams, to deliver architectural solutions that meet both 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, with a focus on data integrity and system compatibility. • Ensure compliance with relevant regulations and industry standards, particularly for the Utilities and Telecom industries. Good to have: • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. • 14+ years of experience in software architecture, with expertise in cloud-native architectures and data integration strategies. • Strong experience in at least one major cloud platform (e.g., AWS, Azure, Google Cloud) and multi-cloud strategies. • Proficient in DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Terraform) with a focus on automation and infrastructure-as-code. • Experience with AI/ML frameworks and the ability to integrate machine learning solutions into enterprise architectures. • Proven experience with data interoperability frameworks and tools, ensuring the seamless flow of data between different systems. • Experience in Utilities or Telecom is a strong plus.