4 months ago
Responsibilities
- Define enterprise architecture frameworks, technology roadmaps, standards, governance processes, and best practices.
- Lead end-to-end solution architecture and implementation initiatives for complex enterprise applications.
- Drive software delivery activities spanning requirements analysis, design, development, testing, deployment, and support.
- Design AI/ML-enabled solutions, intelligent automation capabilities, scalable data platforms, and analytics solutions.
- Engage clients and business stakeholders to understand requirements, define solution strategies, and provide technology consulting.
- Participate in pre-sales activities, solution proposals, proof of concepts, and client presentations.
- Mentor architects, developers, analysts, and engineering teams and lead architecture reviews.
- Identify technical risks, develop mitigation strategies, and support estimation, planning, and delivery governance.
- Develop reusable technology assets, accelerators, white papers, and frameworks while promoting innovation and emerging technologies.
Requirements
- Bachelor's or master's degree in engineering, computer science, information technology, MCA, or a related discipline.
- 12–18 years of experience related to the job description.
- Experience leading large-scale software implementation and digital transformation programs.
- Hands-on expertise with Java, J2EE, Spring Boot, Spring MVC, REST APIs, SOAP Web Services, and Hibernate.
- Experience with microservices architectures, Kafka/event-driven architecture, API management, Oracle Database, MongoDB, ETL technologies, and Node.js.
- Hands-on experience implementing AI/ML solutions and experience with Python, SQL, R, TensorFlow, PyTorch, and Scikit-Learn.
- Experience with Angular, Drools, JBPM, enterprise workflow solutions, and business process management platforms.
- Experience with Azure, AWS, or Google Cloud Platform and with big data, data engineering, and enterprise analytics solutions.
- Experience implementing Generative AI, NLP, intelligent automation, or computer vision solutions.
- Experience in life insurance or annuities, including underwriting, policy administration, claims, or risk management operations.
- Technical certifications in cloud, AI/ML, architecture, or related technologies are preferred.
- Experience with global delivery models and demonstrated success in architecture governance and enterprise technology strategy.
- Strong consulting, stakeholder management, communication, analytical, problem-solving, mentoring, coaching, and people leadership capabilities.
Tech Stack
AngularApache KafkaAWSAzureGoogle Cloud PlatformJavaMongoDBNode.jsOracle DatabasePythonPyTorchRscikit-learnSpring BootSQLTensorFlow
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About Infosys
Infosys is a public IT services and consulting company that builds and runs software systems for large enterprises across industries. It provides consulting, systems integration, cloud and AI services, engineering, and business process outsourcing, and sells platforms such as EdgeVerve's Finacle core banking suite. Founded in 1981 and headquartered in Bangalore, it serves clients in 50+ countries and is listed on the NSE, BSE, and NYSE.