Senior AI Engineer

Role description and responsibilitiesAt Accenture Digital Core, we help clients continuously innovate at speed and at scale, combining deep industry expertise with cutting-edge technology to deliver meaningful transformation. You will bring innovation, intelligence and experience together to shape robust, secure and scalable digital solutions.

• Design, operate and troubleshoot end-to-end data and ML pipelines in production environments
• Integrate and run ML/AI models, ensuring correct handling of inputs, outputs and data changes
• Build and maintain batch and streaming pipelines using Spark / PySpark
• Monitor systems using logs, metrics and alerts, ensuring operational stability
• Contribute to CI/CD pipelines and DevOps practices for data and ML workloads on Azure
• Collaborate with backend, platform and business teams in distributed environments
• Develop production-grade solutions using Python, SQL, JSON/YAML, Git
• Implement and debug pipelines on Azure (Data Lake, Databricks)
• Use ML experimentation tools (MLflow, Weights & Biases, Databricks ML) and notebooks (e.g. Synapse)
• Ensure idempotent processing, performance profiling and safe re-runs
• Apply data validation, sanity checks and numerical precision awareness
• Ensure observability through log and metric interpretation
• Apply basic access control (RBAC) and secure data handling practices
• Work within regulated environments (Financial Services)
• Participate in Agile delivery, documentation practices and incident awareness
• Maintain model lifecycle awareness as well as awareness of assumptions and limitations
• Ensure awareness of compliance constraints

Requirements

• University degree in Computer Science, Software Engineering, Information Technology, Engineering, or a comparable technical field
• 7 to 10 years of relevant work experience
• Experience in data/AI production environments
• Experience in incident/support environments
• Experience with Python (production usage), SQL and SQL-based database systems
• Knowledge of PySpark / Spark, Azure (Synapse, Data Lake, Databricks) as well as CI/CD and DevOps tools (Azure DevOps, pipelines)
• Understanding of monitoring tools (logs, alerts)
• Professional English at C1 level (spoken and written)
• Effective communication with both technical and non-technical stakeholders
• Strong collaboration skills within distributed and cross-functional teams
• Proactive mindset with a high sense of ownership and accountability
• Structured approach to incident and problem management
• Ability to prioritize workload efficiently in a dynamic environment
• Must hold a valid work permit or EU/Schengen Space nationality to legally work in Portugal

Nice to have

• French or Dutch language skills