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AI Engineer

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Robert Half

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Location:
United States , Austin

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

In this role, you will be responsible for creating, implementing, and optimizing AI and machine learning solutions that improve engineering, operations, and enterprise workflows. This role serves as a connection point between advanced technology and real-world application, ensuring AI initiatives deliver measurable business value.

Job Responsibility:

  • Develop and deploy AI/ML models for automation, predictive insights, and generative applications
  • Transform experimental prototypes into scalable, production-ready systems using tools such as TensorFlow, PyTorch, or Scikit-learn
  • Partner closely with data engineering teams to build reliable data pipelines and scalable architectures
  • Apply ETL processes and big-data technologies to clean, structure, and prepare datasets for modeling
  • Deploy AI solutions on cloud platforms (e.g., Azure machine learning services, Databricks) and integrate them into existing digital environments
  • Implement MLOps best practices across model lifecycle management, monitoring, and iteration
  • Collaborate with cross-functional teams—including engineering, IT, and business operations—to ensure AI solutions align with organizational goals
  • Translate complex AI concepts into clear, accessible explanations for non-technical audiences
  • Ensure all AI systems comply with organizational standards for security, governance, and responsible use
  • Maintain thorough documentation covering model assumptions, architecture, and decision-making processes
  • Stay up to date with emerging AI innovations, including agent-based systems and multimodal models
  • Contribute to internal innovation programs and AI-focused centers of excellence

Requirements:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field (Master’s preferred)
  • 5+ years of hands-on AI/ML development experience
  • Proficiency in Python and leading AI/ML libraries (TensorFlow, PyTorch)
  • Experience working with cloud ecosystems such as Azure and platforms like Databricks
  • Knowledge of MLOps methodologies, including containerization (Docker/Kubernetes) and CI/CD practices
  • Experience working with engineering or complex operational workflows is beneficial
  • Excellent communication, analytical, and teamwork skills
  • Familiarity with Generative AI, large language models, and retrieval‑augmented systems
  • Experience with predictive analytics, knowledge graph technologies, and agentic AI architectures
What we offer:
  • Healthcare (medical, dental, and vision plans)
  • 401(k) and retirement plans
  • Commuter benefits
  • Employee and vendor discounts
  • Employee Assistance Program (EAP)

Additional Information:

Job Posted:
January 26, 2026

Work Type:
On-site work
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