AI Engineer

• Architect and implement scalable application solutions that meet business objectives and technology strategies.
• Establish and enforce architecture principles, standards, and guidelines to drive consistency across projects.
• Develop and maintain detailed architecture diagrams and documentation, effectively communicating design rationale to stakeholders.
• Lead the design and optimization of data storage solutions, ensuring high availability and performance.
• Formulate and execute migration strategies for transitioning legacy systems to modern architectures with minimal business impact.
• Design and implement robust security models, including role-based access controls, to protect sensitive data and ensure compliance.
• Assess, select, and recommend technology stacks and frameworks, providing clear justification for decisions.
• Collaborate with cross-functional teams to integrate services and deliver cohesive architectural solutions.

Experience Range: With at least 5 to 8 years of experience in architecture design and application development, including proven leadership in end-to-end solution design initiatives., * Advanced proficiency in application design and enterprise solution architecture

• In-depth knowledge of architectural frameworks such as TOGAF or Zachman
• Expertise in creating technical documentation and architecture diagrams
• Strong skills in data modeling and storage design for distributed systems
• Experience in planning and executing system migrations
• Design and implementation of role-based security models
• Microservices architecture and RESTful API design
• Technology evaluation and selection for large-scale projects
• Hands-on experience with cloud platforms including AWS, Azure, or Google Cloud
• Integration pattern implementation for enterprise systems

Preferred Skills:

• Proficiency with containerization tools such as Docker and Kubernetes
• Experience designing and implementing CI/CD pipelines using DevOps practices
• Knowledge of event-driven architecture and enterprise messaging systems
• Familiarity with Infrastructure as Code tools like Terraform or AWS CloudFormation
• Expertise in performance tuning and system scalability
• Understanding of data governance and regulatory compliance frameworks

Desired Qualifications:

• Bachelor’s degree in computer science, Information Technology, Software Engineering, or a closely related field
• Certification in TOGAF, AWS Certified Solutions Architect, or Azure Solutions Architect Expert relevant to enterprise architecture roles