AI Engineer (Enterprise Automation)

About the role

We are seeking an experienced AI Engineer to design and deliver intelligent automation solutions that streamline enterprise operations. The role blends AI engineering, machine learning, and data analytics to create scalable, AI‑powered applications that improve decision‑making across business functions.

Key responsibilities

• Design, develop and deploy AI‑powered agents that automate business processes and operational workflows.
• Integrate AI solutions with enterprise applications via APIs, workflow automation tools and system connectors.
• Build monitoring and observability capabilities to track AI agent performance, usage and effectiveness.
• Develop knowledge‑aware AI solutions using retrieval‑augmented generation, prompt orchestration and contextual reasoning.
• Ensure compliance with security, governance, version control and audit requirements throughout the deployment lifecycle.
• Analyse operational datasets to identify trends, optimisation opportunities and automation use cases.
• Build and evaluate machine learning models for anomaly detection, forecasting, predictive analytics and risk assessment.
• Deploy models into business intelligence platforms or AI applications using cloud‑based ML services or Python‑based solutions.
• Partner with analytics teams to translate model outputs into dashboards, reports and actionable insights.
• Maintain clear technical documentation for models, pipelines, prompts and deployment processes.

Required profile

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence or a related discipline.
• At least four years of experience in AI engineering, machine learning, data engineering or intelligent automation.
• Strong programming background in Python and SQL.

Required skills

• Python
• SQL
• Microsoft Power Platform (Power Automate, Power Apps, Copilot Studio)