Principle duties:
• Design end-to-end technology solutions that align business objectives with enterprise architecture standards.
• Lead architecture for AI, automation, document processing, workflow, and digital transformation initiatives.
• Translate business requirements into scalable, secure, maintainable, and cost-effective solutions.
• Evaluate emerging technologies, including Generative AI, Intelligent Document Processing, OCR/ICR, and cloud services.
• Provide technical leadership throughout the solution lifecycle, from idea through implementation and operational support.
• Communicate architectural decisions effectively to business and technical stakeholders.
Responsibilities:
• Design and govern AI-enabled solutions, including Generative AI, machine learning, intelligent automation, and document processing platforms.
• Assess business opportunities for AI adoption and recommend practical, scalable implementation approaches.
• Define solution patterns for AI services, APIs, integrations, data pipelines, and cloud platforms.
• Work with data engineers,
developers,
business analysts, and operations teams to deliver AI solutions into production.
• Ensure AI solutions comply with security, privacy, data governance, and regulatory requirements.
• Participate in AI proof-of-concepts and innovation programs to evaluate business value and technical feasibility.
• Support the adoption of Microsoft Azure AI, Microsoft Copilot, OpenAI-based solutions, and related technologies where appropriate.
*** Education:
• Bachelor's degree in Information Technology, Computer Science,
Software Engineering, or a related discipline.
*** Technology skills and experience:
Required:
• Strong understanding of application architecture, integration architecture, cloud platforms, security, networking, and enterprise systems.
• Experience designing enterprise-scale software solutions and integrations.
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
• Experience designing API-first solutions and distributed applications.
• Understanding of DevOps, CI/CD, and modern software development practices.
• Knowledge of database design, data modelling, and system integration patterns.
Preferred:
• Experience with AI/ML platforms, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent automation.
• Experience with Microsoft Azure AI Services, Azure OpenAI, Copilot Studio, Microsoft Power Platform, or equivalent technologies.
• Experience with OCR/ICR, document processing, and workflow automation solutions.
• Experience designing AI governance, risk management, and security controls.
*** Experience:
• 7+ years of professional IT experience.
• 3+ years in Solution Architecture, Technical Architecture, Lead Developer, or equivalent consulting roles.
• Demonstrated experience designing and delivering enterprise applications from concept through production.
• Experience participating in AI, automation, digital transformation, or intelligent document processing projects is highly desirable.
*** Soft skills:
• Business proficiency English: spoken and written.
• Strong stakeholder management and communication skills.
• Ability to translate complex technical concepts for business audiences.
• Analytical and problem-solving mindset.
• Ability to balance innovation with operational practicality.
• Strong presentation and workshop facilitation skills.
• Decision making and risk assessment.