Senior AI Engineer

At Accenture (Permanent), in Lisbon, Portugal

Expires at: 2027-06-08

Remote policy: Partial remote

Role description and responsibilities

At 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