Be the technical architect and design the implementation solution in line with customer needs, derives specification, scope of work and technical deliverables to the customer.
Design and develop Solution Architecture by systematically analysing legacy application and business requirements along with approved reference architecture
Support in developing backlog of stories .
Throrough familiarity with various fullstack tech stack ( eg Java , Springboot , react , RDBMS, NoSQL , SSO ) and architecture framework
Work closely with data migration specialist engineer to define the target data model
Attributes :
Can communicate solutions, ideas, suggestions to a variety of (business) stakeholders effectively and comprehensibly
Possesses strategic business acumen and understanding of organizational strategy.
Deep understanding of Application, Infrastructure, and security architecture and non-functional aspects like Performance, Scalability, Reliability, Availability
Understanding of latest cloud computing and data technologies, business drivers, emerging computing trends, and deployment options
Expert in defining, designing, and developing distributed and scalable products and services, including reusable domain-specific microservices on multi-platform / hybrid clouds (such as Microsoft Azure, AWS, Google Cloud Rackspace, VMware
Able to navigate client stakeholders to facilitate work
Experience with Agile & DevSecOps methodologies
Excellent collaboration, interpersonal and communication skills
Broad understanding of various enterprise Technology, including service offerings, technical standards, and policies, technical and business strategies
Strong collaborator willingness to share ideas, documentation, and leading practices
Conceptual and analytical thinker ability to extract, analyze, and document complex business and technical Plus :
Define and implement AI-powered enterprise solutions that enable seamless data flow, security, and performance optimization.
Design scalable AI architectures, ensuring integration with existing enterprise ecosystems and regulatory frameworks.
Establish best practices for AI deployment, automation pipelines, and cloud-based model orchestration.
Architect high-performance AI / ML pipelines to enable real-time analytics, NLP, generative AI, and deep learning models.
Ensure AI-driven automation and intelligence are embedded into enterprise applications, ERP systems, and other digital platforms
Optimize AI models for scalability, efficiency, and cloud-native execution across global enterprise deployments.
(ref : hirist.tech)
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Technical Architect • Bangalore
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