AI Solutions Architect – Enterprise AI & Digital Transformation

Overview

AI Solutions Architect

Business Engagement & AI Strategy

• Partner with business units and corporate functions to understand processes, identify pain points, and uncover high-value AI opportunities.
• Conduct discovery workshops and process assessments to identify automation and productivity improvement initiatives.
• Translate business challenges into AI solution roadmaps, use cases, and business value propositions.
• Develop ROI-driven recommendations and prioritize AI initiatives based on business impact and feasibility.
• Act as a trusted advisor to business leaders on AI adoption, governance, and transformation opportunities.

Solution Architecture & AI Delivery

• Design and implement enterprise AI solutions using Microsoft Copilot, Copilot Studio, Azure AI Studio, Azure AI Foundry, and related technologies.
• Architect intelligent agents and agentic AI solutions capable of automating complex, multi-step business workflows.
• Lead the design of scalable, secure, and governed AI architectures covering data, integrations, security, compliance, and operational requirements.
• Evaluate emerging AI platforms, frameworks, and models and recommend the most suitable technology stack based on business requirements.
• Conduct build-versus-buy assessments and technology selection exercises to optimize cost, capability, integration, and time-to-value.

Data, Integration & Enterprise Enablement

• Design integrations between AI solutions and enterprise platforms including ERP, CRM, HRMS, ITSM, collaboration platforms, and business applications.
• Ensure data readiness, governance, quality, and accessibility to support AI-driven initiatives.
• Collaborate with enterprise architecture, cybersecurity, infrastructure, and application teams to ensure successful deployment and adoption.
• Establish reusable AI components, frameworks, and best practices across the Group.

Digital Transformation Leadership

• Lead AI proof-of-concepts, pilot programs, and production deployments from concept through value realization.
• Promote Responsible AI principles, governance frameworks, security standards, and compliance requirements.
• Continuously assess emerging AI technologies, trends, and innovation opportunities relevant to the Group’s businesses.
• Build AI awareness, capability, and adoption across business functions through mentoring, workshops, and stakeholder engagement.

Key Performance Indicators (KPIs)

• Number of AI use cases successfully deployed and adopted across business units.
• Percentage reduction in manual effort and process cycle times through automation.
• Measurable business value generated through AI initiatives, including cost savings, productivity improvements, and risk reduction.
• Adoption rates of Microsoft Copilot, AI agents, and AI-enabled business solutions.
• Time-to-delivery from concept approval to production deployment.
• Stakeholder satisfaction and business user feedback.
• Reusability and scalability of AI solutions across multiple business entities.
• Compliance with AI governance, security, and responsible AI standards.

Qualifications & Experience

• 10+ years of experience in enterprise technology, digital transformation, solution architecture, or business technology consulting.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Technology, or a related discipline.
• Proven experience delivering enterprise-scale AI, automation, data, or digital transformation initiatives.
• Experience engaging directly with business stakeholders and translating business requirements into technology solutions.
• Experience working within large enterprise or multi-business-unit environments.
• Strong understanding of enterprise architecture, solution design, and technology governance frameworks.
• Demonstrated experience leading cross-functional projects and stakeholder engagements.
• Experience working across multiple technology platforms, cloud environments, or AI ecosystems is highly desirable.

• Agentic AI Architecture & Orchestration

• Generative AI & Large Language Models (LLMs)

• AI Governance & Responsible AI

• AI Use Case Discovery & Value Realization

• Data Platforms & Analytics

• Alternative AI Platforms and Open-Source AI Frameworks

• Consulting & Advisory Skills

• Change Management
• Innovation Leadership

Preferred Qualifications

• Microsoft Certified: Azure AI Engineer Associate, Azure Solutions Architect, or related certifications.
• Microsoft Copilot and Copilot Studio certifications.
• Certifications from AWS, Google Cloud, NVIDIA, IBM, or equivalent AI and cloud platforms.
• Experience implementing AI agents and automation solutions in enterprise environments.
• Demonstrated portfolio of deployed AI solutions, copilots, or intelligent agents.
• Experience evaluating and implementing solutions across multiple AI technology stacks.