AI Expert Systems Architect

2 days ago

Bengaluru, Karnataka, India beBeeArtificialIntelligence Full time US$ 1,20,000 - US$ 1,80,000

**Job Title:** Artificial Intelligence Systems Architect

About the Role:

We are seeking an experienced systems architect to lead the design, creation, and evolution of system architectures for AI solutions.

  • Design and implement scalable architectures that support AI/ML models and data systems, optimizing for performance, cost-efficiency, and security.
  • Leverage cloud environments (AWS, GCP, Azure) to architect solutions that support high-volume data processing, storage, and AI model deployment.
  • Develop and oversee data pipelines that ensure smooth data flow between various sources and AI systems, incorporating best practices for ETL, data lakes, and real-time streaming.
  • Collaborate with ML engineers to establish CI/CD pipelines for model deployment, monitoring, and lifecycle management to ensure models remain reliable and efficient in production.
  • Evaluate and recommend AI tools, libraries, and platforms that align with business goals, ensuring that the chosen technology stack can support complex AI and data requirements.
  • Ensure all AI architectures meet security, regulatory, and compliance standards relevant to data handling, model deployment, and user access, particularly with regards to GDPR, CPRA, and industry-specific regulations.

Required Skills and Qualifications:

  • Cloud Platform Expertise: Proficient in AWS (SageMaker, Redshift, Lambda), Google Cloud Platform (BigQuery, Vertex AI), and/or Azure AI services, with a strong grasp of cloud-based data management and ML lifecycle management.
  • Containerization and Orchestration: Skilled in Docker, Kubernetes, and other container management tools to ensure scalability and efficiency in model deployment and orchestration.
  • Data Security and Governance: Familiar with data governance frameworks and security protocols, including encryption, authentication, and compliance requirements (GDPR, CPRA, etc.), especially as they relate to cloud-based AI solutions.
  • Bachelors degree in computer science, data science, or related field.
  • Masters degree or relevant certifications is preferred.
  • Experience: 8+ years of experience in systems architecture, with at least 5 years focused on AI and data systems in a cloud environment.
  • Programming Languages: Proficient in Python, Java, and SQL; familiarity with R, Scala, or other languages is a plus.
  • MLOps Tools: Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Airflow) for model tracking, versioning, and deployment.
  • Analytical Skills: Strong problem-solving abilities with the capacity to analyze system requirements and design scalable solutions that meet both technical and business needs.

PREFERRED QUALIFICATIONS:

  • Relevant certifications are a plus (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer, Certified Kubernetes Administrator).

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