Lead Solutions Architect

Role Purpose  

The Lead Architect will establish and guide the architectural foundation for our global MGA’s emerging solution development and automation enablement capability. This is a hands-on, technical leadership role responsible for building the frameworks, environments, and standards needed to prototype agent-driven solutions quickly and transition them into MGA’s traditional IT ecosystem.  

The Lead Architect will define the technical pathways that connect experimentation with enterprise readiness — building a sandbox environment, establishing integration patterns, and ensuring solutions can scale securely across the business. This role blends modern software engineering, cloud-native development, and strong knowledge of traditional IT systems (ERP, data platforms, infrastructure, cybersecurity).  

This position is the anchor of MGA’s move from a support-focused IT model to a product-centric, innovation-driven technology organization.  

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Key Responsibilities  

Strategic Architecture Leadership  

• Establish the architectural vision and standards for automation and agent-enabled product development.  
• Define MGA’s technical framework for rapid proof of concept, modular development, and scalable integration.  
• Build the foundation for an internal product engineering capability operating alongside traditional IT.  
• Translate long-term technology strategy into actionable reference architectures and reusable patterns.  

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Engineering & Platform Ownership  

• Design and build the company’s automation sandbox environment, ensuring secure, compliant, and scalable experimentation.  
• Develop the transition pipeline — moving prototypes into enterprise-ready solutions through defined quality, security, and performance gates.  
• Own API strategy, integration patterns, microservice architecture, data access frameworks, and cloud infrastructure design.  
• Deliver reference implementations, starter templates, and tooling that accelerate product team velocity.  

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Automation Enablement & Solution Architecture  

• Partner with Solution designers, Data miners, and Engineering teams to architect automation enabled features, workflows, and applications.  
• Define the standards for model deployment, vector search, data pipelines, and runtime hosting.  
• Ensure solutions integrate properly with core enterprise systems (ERP, CRM, eCommerce, Data Warehouse).  

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Enterprise Alignment  

• Serve as the bridge between modern development practices and the existing enterprise IT estate.  
• Ensure all new solutions fit MGA’s security, governance, compliance, and operational standards.  
• Collaborate with Infrastructure, Cybersecurity, ERP, and Data warehouse teams to ensure smooth integration and long-term maintainability.  
• Maintain architectural consistency across environments, products, and teams.  

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Team Leadership & Culture  

• Act as the senior-most technical mentor for full-stack developers, ML engineers, and platform engineers.  
• Build a culture of pragmatic, hands-on engineering balanced with disciplined architectural thinking.  
• Contribute to building MGA’s internal product engineering team structure and capability.  
• Provide coaching and guidance that grows mid-level engineers into future technical leads.  

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Key Deliverables (First 18–24 Months)  

• Publish MGA’s Architecture Framework for AI-enabled solution development.  
• Build the business process automation sandbox environment and secure access model.  
• Deliver the transition pipeline for promoting prototypes into production.  
• Produce reference architectures and reusable components for APIs, integrations, and automation workflows.  
• Support the launch of multiple AI-enabled products/solutions or automation across business units.  
• Establish core architectural guardrails for ERP, data, integration, and cloud alignment.  

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Experience & Qualifications  

• 7–12 years experience in software engineering or solution architecture.  
• Hands-on expertise in cloud-native development (AWS/Azure/GCP), containers, and modern application architectures.  
• Experience deploying AI/ML systems, LLM-based applications, or automation frameworks.  
• Strong understanding of enterprise technologies: ERP systems, system integrations, data platforms, Power Platforms, identity management.  
• Proficient with DevOps practices (CI/CD, IaC, observability) and secure-by-design engineering principles.  
• Prior experience in modernization environments or product engineering teams.  
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).