AI/ML Engineer — Enterprise Conversational AI & Validation

Envision Employment Solutions, LLC

Riyadh

On-site

SAR 300,000 - 540,000

Full time

4 days ago
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Job summary

Envision Employment Solutions, LLC is seeking an AI/ML Engineer to design, develop and support enterprise AI across multiple use cases in a production environment. You will work on conversational assistants, retrieval and grounding, and validation controls to ensure accurate, trustworthy answers.

Collaborate with Data Scientists, Data Engineers, architects and business SMEs while delivering production-ready AI components and reusable platform services.

Qualifications

  • 5+ years of experience delivering generative AI, ML or conversational AI solutions.
  • Strong Python skills; experience with APIs, structured data, retrieval techniques and model evaluation.
  • Experience with Azure AI and data services, or equivalent enterprise platforms.
  • Understanding of security, access control, logging, monitoring and responsible AI requirements.

Responsibilities

  • Build AI assistants across multiple use cases in a programme.
  • Implement conversational querying, retrieval, grounding, evidence presentation and agent orchestration.
  • Integrate AI components with enterprise data platforms, APIs and knowledge sources.
  • Build controls to validate generated answers and reduce unsupported responses.
  • Contribute to shared AI platform components and reusable services.
  • Support testing, benchmarking, UAT, controlled deployment, documentation and knowledge transfer.
  • Collaborate with Data Scientists, Data Engineers, architects and business SMEs.

Skills

Generative AI
Python
APIs
Data retrieval
Model evaluation
Azure AI
Security
Responsible AI

Tools

Databricks
ADLS
Azure AI Services

Job description

Envision Employment Solutions, LLC is seeking an AI/ML Engineer to design, develop and support enterprise AI across multiple use cases in a production environment. You will work on conversational assistants, retrieval and grounding, and validation controls to ensure accurate, trustworthy answers.

Collaborate with Data Scientists, Data Engineers, architects and business SMEs while delivering production-ready AI components and reusable platform services.

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