Enterprise Technology Visionary
24 hours ago
Join a leading organization as a Technical Leader in Enterprise Solutions. Take charge of shaping and implementing innovative, scalable, and secure IT solutions across various domains.Lead technical design and architecture for complex enterprise systems, incorporating cloud computing, AI, and data management technologies.Collaborate with cross-functional teams to translate business needs into functional architectures, focusing on security, performance, and maintainability.Design and implement cloud-native applications leveraging microservices, event-driven patterns, and container orchestration.Architect and develop API ecosystems, integrating REST, GraphQL, and gRPC standards.Drive the development of AI/ML solutions, model deployment, and data pipeline integration within enterprise systems. Ensure database design and data modeling meet high-performance requirements using SQL and NoSQL technologies.Mentor engineers, review technical designs, and lead architectural governance across projects.Review suite-level architecture, tools, and technology stacks to identify opportunities for standardization and shared components.Define and maintain solution blueprints for common core functionality across the organization.Key responsibilities include:Establishing and reviewing the overall architecture roadmap to align with long-term technology vision and organizational goals.Evaluating and recommending GenAI tools and accelerators to enhance delivery efficiency and developer productivity.Defining optimal CI/CD and infrastructure strategies to improve automation, resilience, and operational efficiency.Required skills and qualifications include:Proficiency in at least one cloud platform (Azure, AWS, or GCP) and designing cloud-native applications.Deep understanding of full stack architectures including frontend, backend, API, and database components.Experience with modern API design standards and integration patterns (REST, GraphQL, gRPC).Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Azure ML, SageMaker) and enterprise AI integration.Strong database architecture skills – relational (PostgreSQL, SQL Server, Oracle) and non-relational (MongoDB, Cosmos DB, DynamoDB).This is an exciting opportunity to work with a talented team and contribute to the development of cutting-edge technology solutions.Qualifications include:Bachelor's or Master's degree in Computer Science, AI, or related field.10+ years of experience in architecture and solution design across multiple domains.Cloud or AI certifications (Azure Solutions Architect, AWS Solutions Architect, GCP Professional Cloud Architect, or AI Engineer) preferred.Please submit your application to be considered for this position.],
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