About this opportunity
Ericsson is a global leader in telecommunications and technology, dedicated to driving innovation and shaping the future of communication. With a commitment to pushing the boundaries of what's possible, Ericsson is at the forefront of creating solutions that address the world's most pressing challenges. As a JAVA Architect at our Noida location, you will play a key role in crafting innovative and scalable solutions that integrate Java and Artificial Intelligence/Machine Learning (AI/ML) technologies. This position requires a top-tier professional with a strong background in High-Level Design (HLD) and a deep understanding of both Java and AI/ML domains. You will be responsible for designing end-to-end technical solutions that meet customer needs and chip in to the overall success of Ericsson.
What you will do
• Lead the definition and crafting of solution offerings, focusing on end-to-end technical solutions that incorporate Java and AI/ML technologies.
• Conduct thorough analysis of customer technology, define business requirements, and actively participate in risk analysis.
• Collaborate with multi-functional teams to generate potential activities and innovative solutions.
• Develop comprehensive technical presentations and proposals, delivering compelling insights during customer presentations.
• Provide valuable feedback to management to enhance solution quality and overall performance.
• Actively participate in knowledge transfer, documentation, and information sharing within the team.
• Stay abreast of new technologies and advancements in Java and AI/ML domains, sharing relevant insights to cultivate team competence.
• Drive the development of balanced and reusable solutions.
• Take ownership of High-Level Design (HLD) activities, ensuring the delivery of robust architectural solutions.
You will bring
• Minimum 4 years into Core JAVA, groovy, sql-worked on apis, spring boot, Jquery, hibernate,rest api, jscript. Testing and quality analyst skills are not required.
• Proficiency in Java programming language and practical experience in implementing AI/ML solutions.
• In-depth understanding of end-to-end technical solutions, including E2E, Network Optimization/Network Design & Network Operations.
• Familiarity with different Telecom services and one or more ITIL processes: Fault, Problem, Configuration, Performance, Service Management.