Key Responsibilities:
Architecture Design & Delivery
Design, document, and support the delivery of technical solutions across applications, infrastructure, and integration layers.
Work with stakeholders to understand requirements and translate them into functional and technical architecture.
Support the implementation of architecture standards, ensuring compliance with IT governance and security requirements.
AI & Innovation
Contribute to the integration of AI capabilities (e.g., chatbots, automation, data-driven decision support) into enterprise solutions.
Collaborate with data engineers and analysts on AI-related projects.
Stay informed on emerging technologies, particularly in the AI/ML and cloud-native space.
Security & Compliance
Apply security best practices to architectural designs, including data privacy, access control, and secure integration.
Collaborate with Information Security teams to align with internal and regulatory security frameworks.
Support audits and risk assessments for IT solutions.
Collaboration & Stakeholder Engagement
Work cross-functionally with developers, analysts, business teams, and senior architects.
Present proposed solutions in a clear, business-aligned manner.
Contribute to architecture review sessions and technical planning activities.
Continuous Improvement
Identify opportunities for system improvements, automation, and efficiency.
Provide technical input during vendor evaluations and tool assessments.
Mentor junior team members or contribute to knowledge-sharing initiatives.
Experience and Qualifications
Education:
Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
Relevant certifications preferred (e.g., AWS,Azure Solution Architect, AWS/Azure Cloud Certification; TOGAF; Microsoft AI Fundamentals or CompTIA Security+).
Experience:
5–8 years of IT experience, including at least 2–4 years in a solution/security design or architecture support role.
Proven experience in implementing and architecting ERP systems, with a strong preference for SAGE Intacct.
Hands-on experience with cloud platforms (AWS, Azure, or GCP).
Exposure to AI/ML technologies and how they can be practically applied in business systems.
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