Lead Data Engineer, AI

Responsibilities

• Design and implement AI workflows combining models, prompts, enterprise data, tools and business logic
• Develop and maintain prompt engineering strategies, including versioning, testing and optimization
• Implementation of orchestration layers for multi-step reasoning, decisioning and action execution
• Integrate AI capabilities into enterprise systems, APIs and user interfaces
• Application of guardrails to ensure safe, explainable and compliant AI behavior
• Build and maintain production-grade AI deployment pipelines
• Ensure reliability, scalability, latency optimization and cost efficiency of AI services
• Implementation of monitoring and observability for AI systems including usage, performance, drift and failures
• Establish change control, versioning, rollback and release management practices
• Collaborate closely with data scientists and business experts to validate model behavior and outputs

Languages

Required

• Proficiency in prompt engineering strategies, including versioning, testing and optimization
• Skills in building production-grade AI deployment pipelines, MLOps and productionization
• Competency in monitoring and observability for AI systems, including drift, performance and failures

Nice to have

• English proficiency at B2 level or higher

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