AI Architect

Job Description:

The AI Architect is a seniorlevel 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 1215 years of experience in AIML, software engineering, and system architecture, with a proven track record of delivering scalable AI solutions.

Key Responsibilities

• Architecture Design: Develop endtoend AIML architectures, including data pipelines, model development, deployment, and integration into enterprise systems.
• Technical Leadership: Lead crossfunctional 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: 1215 years of professional experience in AIML, 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 AIML frameworks (e.g., TensorFlow, PyTorch, Scikitlearn).
    • 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, GCP) and their AIML 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 opensource AI projects or publications in AIML conferencesjournals.
        • Familiarity with agile methodologies and DevOps practices.
        • 
          
          
          
          
          
          Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.