Ai / Ml Architect (Agentic Ai, Genai)

About Company : Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems. At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged. We invite you to push your boundaries and join us in fulfilling your career aspirations! Position Overview : We are looking for an Technical Architect who will work with technology experts to design optimal solutions to requirements for our customers. This is achieved through interactive requirements gathering, determination of best fit solutions based on problem solving approaches, integrated solution design based on multiple technology types, and a strong ability to present and articulate solutions to senior members of the customer teams. Roles and Responsibilities : Solution Design : Develop end-to-end application architectures based on business and technical requirements. Ensure architectural solutions align with enterprise standards and industry best practices. Technology Selection & Implementation : Choose appropriate frameworks, platforms, and technologies for application development. Provide guidance on cloud-based solutions, microservices, and APIs. Collaboration & Stakeholder Engagement : Work with business teams, developers, and project managers to define technical roadmaps.Communicate architectural decisions and trade-offs to both technical and non-technical stakeholders. Performance & Security : Implement best practices for data protection and compliance. Ensure applications are optimized for scalability, performance, and security. Code Review & Best Practices : Guide development teams on coding standards, design patterns, and best practices. Conduct reviews to ensure code quality and maintainability. Build and maintain repositories for deliverables, methodologies, and business development documents. Interface and co-ordinate tasks with internal and external technical people. Collaborate with project managers, technical directors and other leaders / stakeholders to provision estimates, develop overall implementation solution plan, and serve as a lead as required, to implement the installation, customization, and integration efforts. Oversee aspects of project life cycle, from initial kickoff through requirements analysis, design and implementation phases for projects within the solution area. Provide quality assurance for services within the solution area. Must Have Skills : Overall 15+ years software engineering experience. At least 7+ years in a solution architecture role. 4+ years in a cloud native application architecture with hands-on experience leveraging Java / Node / GCP / AWS and other tech stacks.. Ability to lead and collaborate with other enterprise architects, data platform architects and security architects to deliver scalable, secure and resilient IaaS and PaaS platform solutions in AWS / GCP. Be technical across several areas, understanding coding in modern languages including modern microservices, containers, distributed systems with >

99.99% availability, scaling to millions of users, CICD, Infrastructure as Code, automation principles, and security. Produce designs of complex systems, including discovery and analysis, formulation of solution context, identification of solution alternatives, technology selection, and design configuration through the consistent use of recognized design. Proficiency in one or more programming languages like python / java / Golang Qualification : Master’s or Bachelor’s degree in Computer Science Engineering, or a related technical degree.