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Senior Ai Analytics Solutions Engineer

Dayforce

Take AI analytics solutions from discovery to production with Python, SQL, and enterprise platforms as a Senior AI Analytics Solutions Engineer.This role independently delivers well-defined and emerging use cases, adapting engineering patterns to practical business needs. You will prototype quickly, validate user value, engineer reliable solutions, and improve performance through feedback and usage data. Success includes trust, adoption, and measurable business value.Key Responsibilities:
Discover analytical needs with business and analytics stakeholdersPrototype solutions and validate feasibility, value, and trustEngineer production reliability, scalability, security, and observabilityDevelop automated evaluations for accuracy, grounding, and relevanceMonitor latency, cost, failures, feedback, and adoptionRequirements:
Typically five or more years of related experience with a Bachelor's degreeProduction experience delivering data, analytics, AI, or Generative AIStrong Python, SQL, APIs, testing, version control, and CI/CDExperience with Azure AI Foundry, Azure OpenAI, OpenAI, Anthropic, or comparable platformsUnderstanding of LLMOps or MLOps, monitoring, evaluation, and supportUse practical AI delivery, production engineering, and analytics expertise to create trusted business solutions.
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Vacancy posted 1 hour ago
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