AI Architect

AI Architect

Posted 2 weeks ago by 1750920082

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Negotiable
Outside
Remote
USA
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Summary: The AI Architect is a senior-level position focused on designing and implementing advanced AI and machine learning solutions. This role requires extensive technical expertise and leadership to align AI initiatives with business goals. Candidates should possess 12-15 years of experience in AI/ML and software engineering, with a proven ability to deliver scalable solutions. The position is primarily remote, with a preference for candidates located in Las Vegas, NV.

Key Responsibilities:

  • Develop end-to-end AI/ML architectures, including data pipelines, model development, deployment, and integration into enterprise systems.
  • Lead cross-functional teams of data scientists, engineers, and developers to deliver AI solutions, providing technical guidance and mentorship.
  • Design and implement advanced AI models (e.g., deep learning, NLP, computer vision) tailored to business use cases.

Key Skills:

  • 12-15 years of professional experience in AI/ML, software engineering, or related fields, with at least 5 years in an AI architecture or leadership role.
  • Bachelor's degree in computer science, Data Science, Engineering, or a related field; Master's or Ph.D. in AI, Machine Learning, or a related discipline preferred.
  • Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Open AI, Chat GPT, and Prompt engineering.
  • Proficiency in programming languages (e.g., Python, Java, C++).
  • Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and their AI/ML services.
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
  • Familiarity with MLOps practices and tools (e.g., Kubeflow, MLflow, Docker, Kubernetes).
  • Understanding of database systems (e.g., SQL, NoSQL) and data engineering pipelines.
  • Certifications in cloud platforms (e.g., AWS Certified Machine Learning, Google Cloud Professional ML Engineer) preferred.
  • Experience with generative AI, reinforcement learning, or advanced NLP techniques preferred.
  • Contributions to open-source AI projects or publications in AI/ML conferences/journals preferred.
  • Familiarity with agile methodologies and DevOps practices preferred.

Salary (Rate): undetermined

City: Las Vegas

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

Position: AI Architect

Location: Remote (Prefered local profile Las Vegas, NV)

Job Description:

The AI Architect is a senior-level role responsible for designing, developing, and overseeing the implementation of advanced artificial intelligence (AI) and machine learning (ML) solutions. This position requires deep technical expertise, strategic vision, and leadership to align AI initiatives with business objectives. The ideal candidate will have 12-15 years of experience in AI/ML, software engineering, and system architecture, with a proven track record of delivering scalable AI solutions.

Key Responsibilities

  • Architecture Design: Develop end-to-end AI/ML architectures, including data pipelines, model development, deployment, and integration into enterprise systems.
  • Technical Leadership: Lead cross-functional teams of data scientists, engineers, and developers to deliver AI solutions, providing technical guidance and mentorship.
  • Solution Development: Design and implement advanced AI models (e.g., deep learning, NLP, computer vision) tailored to business use cases.

Required Qualifications

  • Experience: 12-15 years of professional experience in AI/ML, software engineering, or related fields, with at least 5 years in an AI architecture or leadership role.
  • Education: Bachelor's degree in computer science, Data Science, Engineering, or a related field. Master's or Ph.D. in AI, Machine Learning, or a related discipline is preferred.
  • Technical Skills:
    • Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
    • Open AI , Chat GPT and Prompt engineering
    • Proficiency in programming languages (e.g., Python, Java, C++).
    • Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and their AI/ML services.
    • Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
    • Familiarity with MLOps practices and tools (e.g., Kubeflow, MLflow, Docker, Kubernetes).
    • Understanding of database systems (e.g., SQL, NoSQL) and data engineering pipelines.

Preferred Qualifications

  • Certifications in cloud platforms (e.g., AWS Certified Machine Learning, Google Cloud Professional ML Engineer).
  • Experience with generative AI, reinforcement learning, or advanced NLP techniques.
  • Contributions to open-source AI projects or publications in AI/ML conferences/journals.
  • Familiarity with agile methodologies and DevOps practices.

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