(33261) AI Engineering Lead, Automation and Platforms

Role Purpose

The AI Engineering Lead will provide technical leadership for ETP’s AI automation, data integration, workflow automation and digital platform capabilities. The role will lead the technical direction and delivery discipline for AI Engineers and related digital workstreams, ensuring that automation solutions are scalable, secure, maintainable and aligned with ETP’s operating needs.

The role is expected to help ETP move towards a more efficient operating model where staff spend less time on manual administration, repetitive reconciliation and fragmented reporting, and more time on higher-impact work. This role leads AI engineering architecture and delivery across data integration, workflow automation, AI agents and platform capabilities.

Key Responsibilities

1. Technical Architecture and Solution Design

• Define the technical architecture for AI automation, workflow automation, data integration and platform capabilities across ETP.
• Determine how the data lake, AI inference layer, vector database, workflow automation tools, SaaS platforms and ETP Hub should connect.
• Translate business requirements and operational pain points into technical solution designs, delivery plans and prioritised build tasks.
• Ensure technical solutions are secure, maintainable, reusable and aligned with ETP’s longer-term digital operating model.

2. AI Engineering Delivery Leadership

• Lead the AI Engineers in delivering AI agents, automation workflows, data pipelines, reporting automation and integration components.
• Review technical outputs including scripts, workflows, data logic, API integrations, AI-assisted tools and deployment approaches.
• Set delivery standards for code quality, testing, documentation, release readiness and post-launch sustainment.
• Support the use of AI coding tools to accelerate development while ensuring appropriate technical review and quality control.

3. Data, AI and Workflow Automation

• Provide technical oversight for data cleanup, data transformation, reconciliation logic, reporting automation and AI-enabled reporting.
• Guide the development of AI inference-layer capabilities for extraction, classification, validation, summarisation and report generation.
• Lead workflow automation approaches using tools such as n8n and related integration platforms.
• Guide AI-enabled features within ETP Hub, including search, knowledge retrieval, agent workflows and user-facing automation.

4. Platform, SaaS and Infrastructure Integration

• Ensure automation solutions integrate properly with ETP’s platforms, SaaS applications, workflow tools, data sources and infrastructure.
• Work with platform, SaaS and infrastructure workstreams to align technical dependencies, implementation sequencing and support arrangements.
• Assess vendor and professional services proposals for technical soundness, scalability, maintainability and handover readiness.
• Surface risks, constraints and trade-offs early, including security, data access, infrastructure, integration and sustainment considerations.

5. Governance, Documentation and Sustainment

• Establish technical standards for automation workflows, data pipelines, scripts, AI agents, prompts, integrations and reusable components.
• Ensure documentation of architecture, data flows, business rules, workflow logic, prompts, APIs, dependencies and support arrangements.
• Put in place testing, monitoring and issue-resolution processes for deployed automation and AI-enabled tools.
• Drive continuous improvement based on user feedback, adoption, operational performance and changing business needs.

Please be informed that only shortlisted candidates will be notified.