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Senior GenAI Engineer/Architect

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Hybrid

Senior GenAI Engineer/Architect

Prestige Staffing

Senior GenAI Engineer/Architect

Skills

SQL QueriesData EngineeringPythonData ScienceData AnalysisMachine LearningAIAWSAzure

11 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Plano, TX, USA

Work mode:

Hybrid

Published on:

17 October 2026

What they need


Job Title: Senior Generative AI Engineer/Architect

Pay: Competitive compensation package based on experience

Location: Plano, TX — Hybrid work environment (4 days in-office)

Summary Join a global leader in innovative technology solutions as a Senior Generative AI Engineer/Architect. In this role, you'll design and develop cutting-edge AI and machine learning solutions, prototype new ideas, and collaborate with cross-functional teams to drive impactful projects. If you’re passionate about artificial intelligence, problem-solving, and working in a dynamic environment with significant growth potential, this opportunity is perfect for you.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, AI, Engineering, or a related field (or equivalent experience)
  • 5+ years of experience in AI engineering, machine learning, data science, or data engineering roles
  • Strong Python and SQL skills, with experience using popular AI/ML frameworks and libraries
  • Proven track record of building ML models, data pipelines, LLM applications, RAG systems, and AI-enabled workflows
  • Hands-on experience with AI platforms such as Azure AI, OpenAI, AWS Bedrock, Hugging Face, or similar technologies
  • Excellent problem-solving, experimentation, and analytical skills
  • Strong communication and documentation skills

Responsibilities

  • Design, develop, and evaluate AI/ML solutions leveraging techniques such as statistical modeling, generative AI, and large language models
  • Build reusable data pipelines, analytics workflows, and AI-driven projects for structured and unstructured data
  • Create rapid prototypes and proof-of-concepts using Python, AI SDKs, and APIs
  • Collaborate with engineering teams to transition prototypes into scalable production systems
  • Contribute to architecture discussions involving model selection, cloud deployment, and system security
  • Monitor advancements in AI technologies and industry trends, sharing insights with the team
  • Support AI innovation through workshops, documentation, and knowledge sharing

#DICE

#ZR-PRO

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