AI Engineer – Agentic AI & Enterprise Automation

Job Summary

We are seeking an AI Engineer to lead the introduction and adoption of agentic AI technologies across the group. You will design develop and implement enterprise AI solutions that improve productivity automation decision-making and operational efficiency across industrial manufacturing corporate and support functions.

You will have hands-on experience with modern AI ecosystems including OpenAI platforms the Anthropic Claude ecosystem and Microsoft Copilot Studio. You will bring expertise in enterprise architecture data lakes AI agents LLM integration and business transformation.

Key Responsibilities

• Design and implement enterprise agentic AI solutions across key functions including manufacturing finance HR procurement supply chain sales customer service and industrial operations.

• Develop AI assistants copilots autonomous agents and workflow automation using:

  • Microsoft Copilot Studio

  • Azure OpenAI Service

  • Anthropic Claude ecosystem

  • LLM APIs and orchestration frameworks

• Lead enterprise data lake and AI-ready platform architecture integrating ERP CRM manufacturing IoT and operational systems.

• Partner with stakeholders to identify evaluate prioritize and implement AI use cases with measurable ROI.

• Build secure AI frameworks aligned with cybersecurity governance compliance and enterprise standards.

• Develop Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge bases and operational data sources.

• Design AI agents for autonomous decision support workflow execution predictive analysis and recommendations.

• Establish AI governance standards responsible AI practices model monitoring and prompt engineering standards.

• Collaborate with infrastructure cloud cybersecurity and application teams to deploy scalable AI environments.

• Run AI innovation workshops enable users and build internal AI capabilities.

• Support executive leadership in defining enterprise AI strategy and the product roadmap.

Technical Skills & Requirements

• Bachelors degree in Computer Science Artificial Intelligence Data Science Software Engineering or related field.

• 3 years of experience in AI/ML engineering enterprise automation or digital transformation.

• Strong hands-on experience with:

  • Microsoft Copilot Studio

  • Azure OpenAI Service

  • Anthropic Claude ecosystem

  • LLM integration and prompt engineering

  • AI orchestration and autonomous agents

• Experience with Python REST APIs LangChain Semantic Kernel vector databases embeddings and AI workflow automation.

• Understanding of data lake architecture ETL pipelines structured/unstructured processing and enterprise integrations.

• Experience integrating AI solutions with ERP systems such as Oracle ERP HRMS manufacturing CRM and industrial systems.

• Familiarity with Microsoft Azure AWS or Google Cloud.

• Knowledge of industrial/manufacturing environments IoT data predictive maintenance and operational analytics is highly preferred.

• Experience with AI governance cybersecurity compliance and enterprise architecture.

• Strong communication and stakeholder management skills.

Preferred Skills

• Experience in manufacturing or industrial sectors.

• Experience with AI agents multi-agent frameworks and autonomous workflow systems.

• Knowledge of Power Platform Power Automate Fabric Databricks and enterprise analytics platforms.

• AI certifications from Microsoft OpenAI or other leading AI platforms are an advantage.