Lead Data Engineer, AI

We are seeking a Lead Data Engineer with AI to design and implement intelligent AI workflows that combine models, enterprise data and business logic into reliable production solutions. In this role, you will build scalable AI deployment pipelines, integrate AI capabilities into enterprise systems and collaborate with data scientists and business experts to deliver safe, explainable and compliant AI behavior. 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 Translate experimentation results into reliable production solutions Communicate operational constraints and engineering considerations to stakeholders Requirements 5+ years of experience in software development Strong engineering background with applied AI skills Expertise in designing and implementing AI workflows combining models, prompts and enterprise data 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 Knowledge of change control, versioning and release management practices Capability to quickly ramp up on new platforms and tools Familiarity with large enterprise data ecosystems English proficiency at B2 level or higher