Lead Architect, Solution Dev & Automation

Lead Architect, Solution Development & Business Process Automation

The Lead Architect establishes the architectural foundation for MGA's solution development and automation capability. This is a hands-on technical leadership role - designing frameworks, building sandbox environments, and defining the pathways that move agent-driven prototypes into enterprise-ready production. The role bridges modern cloud-native engineering with MGA's existing IT estate (ERP, data platforms, cybersecurity) and anchors MGA's shift from a support-focused IT model to a product-centric, innovation-driven organization.

Strategic Architecture

• Define the architectural vision, standards, and reference patterns for automation and AI-enabled product development.
• Translate technology strategy into actionable frameworks that connect rapid experimentation with enterprise readiness.

Engineering & Platform

• Design and own the automation sandbox environment - secure, compliant, and built for fast iteration.
• Build and maintain the transition pipeline that moves prototypes to production through defined quality, security, and performance gates.
• Own API strategy, microservice architecture, data access frameworks, and cloud infrastructure design.

Automation & Solution Architecture

• Architect automation-enabled workflows and applications in partnership with solution designers, data engineers, and product teams.
• Set standards for model deployment, vector search, data pipelines, and runtime hosting.
• Ensure all solutions integrate with core enterprise systems: ERP, CRM, eCommerce, and Data Warehouse.

Enterprise Alignment & Governance

• Serve as the bridge between modern development practices and the existing enterprise IT estate.
• Ensure architectural consistency with MGA's security, compliance, and operational standards across all environments.

Team Leadership

• Mentor full-stack developers, ML engineers, and platform engineers — building a culture of pragmatic, disciplined engineering.
• Coach mid-level engineers into future technical leads and contribute to building MGA's internal product engineering team.

• Publish MGA's Architecture Framework for AI-enabled solution development.
• Build the business process automation sandbox and secure access model.
• Deliver the prototype-to-production transition pipeline.
• Produce reusable reference architectures for APIs, integrations, and automation workflows.
• Launch multiple AI-enabled solutions or automations across business units.
• Establish architectural guardrails for ERP, data, integration, and cloud alignment.

• 7–12 years in software engineering or solution architecture.
• Hands-on cloud-native development expertise (AWS, Azure, or GCP), containers, and modern application architectures.
• Proven experience deploying LLM-based applications, AI/ML systems, or enterprise automation frameworks.
• Strong grasp of enterprise technologies: ERP, CRM, data platforms, Power Platform, and identity management.
• Proficient in Dev Ops practices - CI/CD, Infrastructure as Code, observability, and secure-by-design principles.
• Experience designing vector search pipelines across multimodal data types (text, images, audio, documents, structured data).
• Proficient with vector databases (e.g. Pinecone, Weaviate, pgvector) — able to evaluate managed vs. self-hosted trade-offs for multimodal workloads.
• Solid understanding of data ingestion, preprocessing, and embedding refresh cycles across heterogeneous sources.
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

• Speed and quality of delivered AI-enabled prototypes and solutions.
• Stability and adoption of sandbox and transition pipeline environments.
• Architectural alignment with core enterprise systems.
• Reduction in time from prototype to production.
• Adoption of architectural patterns and automation frameworks across the organization.
• Developer satisfaction and uplift in technical capability across product teams.

Salary: $ - $