AI/ML Solution Architect
1 month ago
Nexus Systems Group Inc. is seeking a highly skilled AI/ML Solution Architect to lead the modernization of our complex applications into modern microservice architecture patterns.
Key Responsibilities:- Lead multi-tier application infrastructure design, documentation, and configuration for medium or large corporate implementations.
- Analyze the current monolithic complex architecture to identify areas for decoupling and improvement.
- Design the new microservices-based architecture, ensuring modularity and scalability.
- Create detailed documentation of the architecture, including data flow diagrams, integration points, and module interactions.
- Thoroughly assess the application's functionalities, data dependencies, and inter-module interactions.
- Identify performance bottlenecks and areas for improvement.
- Ensure the new architecture addresses security and privacy requirements.
- Map out data dependencies to understand how data flows between different parts of the application.
- Develop a comprehensive modernization roadmap, outlining steps for decoupling functionalities, transitioning data, and integrating new microservices.
- Plan and phase the transition in iterations to minimize disruptions and ensure continuous business operations.
- Conduct risk assessments and develop mitigation strategies for potential challenges, such as data migration issues, service downtime, and integration complexities.
- Experience in modernizing monolithic complex applications into modern microservice architecture patterns.
- Reasoning and analytical skills to lead investigations and analysis, understanding of modern cloud-based integrations and identify interdependencies and bottlenecks.
- Experience involving private sensitive data with on-premise legacy solutions.
- Proficiency in assessing data flow, integrity, and consistency.
- Capability to identify and address potential challenges in transitioning from monolithic to microservices architecture.
- Experience or knowledge in IBM Curam CRM solution architecture.
- Understanding of modern cloud-based integrations involving private sensitive data with on-premise legacy solutions.
- Design architecture patterns across large systems and defining end-to-end governance models for operation and integration into hybrid solutions.
- Extensive experience in planning, creating, and implementing enterprise-level architectures; architectural patterns, frameworks, and best practices to build scalable, maintainable, and robust solutions.
- Proficient in integrating and utilizing Software-as-a-Service (SaaS) and Platform-as-a-Service (PaaS) solutions into the existing architecture. Knowledge of multi-tenancy, cloud service models, and API integrations is necessary.
- Experience in developing, implementing, and managing CRM solutions in a large and distributed environment, monitor the whole system, understand all interactions between components on a given level of abstraction, as well as to define limitations and requirements for source code.
- Proven experience in Microsoft Azure services; designing, deploying, and managing Azure cloud infrastructure, including Azure Active Directory and Identity models such as B2C and B2B.
- Understanding of cybersecurity principles to ensure that solutions are compliant with OPS regulations.
- Knowledge with identity management, data encryption, and threat mitigation strategies.
- Experience in structured methodologies for the design, development, and implementation of applications. Experience with middleware and gateways.
- Knowledge and understanding of Information Management principles, concepts, policies, and practices.
- Worked in Agile teams leveraging tools such as Azure DevOps/Jira.
- Aware of emerging I&IT trends and directions.
- Familiarity with ITS and government procedures for procurement and deployment of technology solutions.
- Establish standard practices across different teams for effective transformation to modern technology architecture.
- Develop short-term and long-term plans for the transformation of architecture.
- Effective communication skills to liaise between technical and non-technical stakeholders.
- Demonstrated ability to lead multidisciplinary teams towards successful project completion.
- Ability to develop enterprise architectural deliverables (e.g., models and documentation) and requirements and have insights in the integrations required from high-level and low-level perspectives.
- Experience in working with project managers and lead architects to scope the work, identify technical risks, and manage priorities.
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