AI Solutions & Automation Engineer

• Identify and prioritize use cases: Work directly with business teams to understand their processes, identify low-value or repetitive tasks, and define the expected benefits.

• Prototype quickly: Design proofs of concept and usage-focused MVPs, test them with users, and iterate based on feedback.

• Develop end-to-end internal tools: Build user interfaces, backend services, workflows, agents, and integrations through to operational deployment.

• Connect enterprise systems: Integrate solutions with Microsoft 365, Salesforce, Jira, Confluence, SharePoint, and other approved data sources while respecting access rights and permissions.

• Industrialize solutions: Implement testing, CI/CD, observability, documentation, version management, support, and continuous improvement.

• Ensure security and responsible AI: Apply data protection, confidentiality, traceability, human oversight, and risk management requirements.

• Measure impact: Define adoption, quality, and operational efficiency metrics with business teams and track the value delivered after deployment.

• Build reusable solutions: Document components and agents, avoid duplication, and contribute to a shared architecture that enables solutions to be reused across multiple teams.

Examples of Solutions you may build

• Assistants for meeting preparation, meeting summaries, and action tracking.

• Intelligent search across commercial and technical documentation.

• Automation of RFP responses and generation of scoping documents.

• Tools to support proposal preparation, opportunity tracking, and consolidation of information from multiple sources.

• Support agents capable of suggesting contextualized resolutions and enriching the knowledge base.

  • Simple internal applications to automate checks, calculations, reporting, and recurring workflows.