IT Solutions Architect
1 week ago
**Purpose of Role**:
**Objectives of Role**:
Key Responsibilities:
**1. Architecture Design & Delivery**
- 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.
**2. 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.
**3. Security & Compliance**
- Collaborate with Information Security teams to align with internal and regulatory security frameworks.
- Support audits and risk assessments for IT solutions.
**4. 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.
**5. 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**:
- 3-5 years of IT experience, including at least 1-2 years in a solution/security design or architecture support role.
- 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.
**Technical Skills**:
- Familiarity with APIs, microservices, containerization, and DevOps practices.
- Knowledge of AI concepts such as machine learning, NLP, or automation tools.
- Understanding of security frameworks (e.g., ISO 27001, NIST) and cloud security best practices.
**Competencies**:
- Strong communication and stakeholder engagement skills.
- Problem-solver with a growth mindset and collaborative approach.
- Comfortable working in both agile and structured project environments.
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