Чем предстоит заниматься
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