AI Engineering Lead

Summary of Role

The Engineering Lead works across RPA, Power Platform, Intelligent Solutions, AI, integrations, and custom development initiatives to ensure that approved solution designs are engineered, implemented, deployed, and supported in accordance with enterprise standards.

This is a hands-on leadership role. The incumbent must be capable of designing technical solutions, creating engineering artefacts, building proof-of-concepts and solution skeletons,

Responsibilities

Engineering Leadership

• Act as the senior engineering authority across DnA.
• Define and maintain engineering standards, frameworks, patterns, and best practices.
• Provide technical leadership across automation, AI, low-code, integration, and software engineering initiatives.
• Serve as the technical escalation point for complex engineering challenges.
• Drive engineering quality, consistency, scalability, security, and maintainability across all DnA solutions.

Engineering Design and Technical Assurance

• Translate solution designs into implementable engineering approaches.
• Produce and review technical designs, infrastructure designs, deployment models, and integration architectures.
• Ensure solutions align to enterprise architecture, security, infrastructure, and operational standards.
• Identify technical risks, dependencies, and implementation challenges early.
• Validate engineering readiness before governance and production deployment.

Governance and Engineering Readiness

• Support GT, architecture, security, infrastructure, and production-readiness forums.
• Ensure engineering artefacts are complete, accurate, and governance-ready.
• Present and defend engineering designs when required.
• Review technical assumptions, non-functional requirements, and deployment approaches.
• Ensure that approved solutions can be successfully implemented and supported.

Hands-On Development and Code Review

• Develop proof-of-concepts, technical spikes, and reference implementations.
• Build reusable frameworks, components, and solution skeletons.
• Conduct detailed code reviews across relevant technology stacks.
• Guide developers on coding standards, design patterns, testing, security, and engineering best practices.
• Support teams in resolving complex technical and integration challenges.
• Maintain practical development capability to validate designs and implementation approaches.

Engineering Capability and Continuous Improvement

• Mentor developers, automation specialists, and engineers.
• Promote reusable engineering patterns and assets.
• Drive adoption of DevOps, DevSecOps, and modern engineering practices.
• Improve engineering maturity across all DnA streams.

Technical Knowledge and Experience

• RPA (Blue Prism or equivalent)
• Power Platform (Power Apps, Power Automate, Copilot Studio)
• .NET and/or Java Development
• API and Integration Development
• Azure Cloud Services
• AI and Intelligent Automation Solutions
• DevOps and CI/CD Practices
• Infrastructure and Deployment Design
• Application Security and Engineering Governance

Qualifications

• Matric And A Degree in Computer Science, Information Technology, Engineering, or a related field.
• 8+ years' experience in software engineering, automation, systems development, or solution delivery.
• Experience across traditional software development and low-code/automation technologies.
• Demonstrated experience in .NET and/or Java development.
• Experience producing technical design and infrastructure artefacts.
• Experience conducting code reviews and providing technical leadership.

Preferred

• Banking or financial-services experience.
• Experience with AI, Azure, and enterprise integration solutions.
• Experience supporting governance and production-readiness processes.
• Relevant Microsoft, Azure, Power Platform, Blue Prism, or architecture certifications.