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