Senior Data Engineer, AI

Responsibilities

• Architect and build AI workflows that merge models, prompts, enterprise data, tools, and business logic
• Create and sustain prompt engineering approaches, covering versioning, testing, and optimization
• Deploy orchestration layers supporting multi-step reasoning, decisioning, and action execution
• Embed AI functionality within enterprise systems, APIs, and user interfaces
• Apply guardrails that guarantee secure, transparent, and compliant AI behavior
• Construct and sustain production-grade AI deployment pipelines
• Guarantee dependability, scalability, latency optimization, and cost efficiency of AI services
• Deploy monitoring and observability for AI systems covering usage, performance, drift, and failures
• Set up change control, versioning, rollback, and release management practices
• Work closely alongside data scientists and business experts to verify model behavior and outputs

Languages

Required

• Mastery of prompt engineering approaches, covering versioning, testing, and optimization
• Abilities in constructing production-grade AI deployment pipelines, MLOps, and productionization
• Proficiency in monitoring and observability for AI systems, covering drift, performance, and failures

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