Staff AI Data Engineer

About the role

Analog Devices, a global semiconductor leader, is hiring a Staff AI Data Engineer in Limerick. The role provides technical leadership and hands-on delivery for next-generation data and AI solutions, designing and deploying scalable, secure and resilient systems from first principles. It involves guiding and mentoring engineers and turning ambiguous business problems into data-driven outcomes.

Key responsibilities

• Architect and deliver end-to-end data and AI solutions, from ingestion and curation to modeling, serving and consumption.
• Design modern data platforms on lakehouse and cloud data warehouse architectures, including streaming and batch ingestion, medallion patterns, data mesh, data quality, lineage, security and governance.
• Build and deploy AI/GenAI solutions such as RAG, LLM-powered agents, vector search and classical ML, taking them from prototype to production.
• Champion AI-assisted engineering and agentic DataOps, and set up MLOps/LLMOps foundations (experiment tracking, model evaluation, monitoring, guardrails).
• Lead large-scale data and analytics efforts and partner with platform, infrastructure and architecture teams.
• Create frameworks, standards, reference architectures and automation, and advise business leaders with data-driven insights.
• Build dashboards and data products with Power BI (preferred) and Tableau.

Required profile

• 10+ years in software/data engineering, including 5+ years in data engineering, with proven experience shipping AI/ML or GenAI solutions to production.
• Degree in Computer Science, Electrical Engineering, Computer Engineering, Data Science or a related field (advanced degree a plus).
• Proven ability to design, architect and own data products and AI solutions through their lifecycle.
• Hands-on experience building applied AI on enterprise data, with an understanding of evaluation, guardrails and cost/quality trade-offs.
• Experience mentoring and leading technical staff, and influencing business stakeholders.
• Nice to have: semiconductor manufacturing data experience, data-mesh environments, AI workload metering/governance, and certifications in cloud, Databricks or Snowflake.

Required skills

• Cloud: AWS and Azure.
• Data platforms: Databricks (Spark, Delta Lake, Structured Streaming, Unity Catalog), Snowflake, lakehouse design.
• Python and SQL at expert level; Apache Spark (batch and streaming).
• dbt, orchestration (Airflow/Dagster), CDC and streaming (Kafka/Auto Loader).
• Applied LLMs and GenAI: RAG, agents, vector search, prompt engineering; MLflow or equivalent.
• Power BI (preferred), Git, CI/CD, Docker, testing and observability.