Senior AI Solutions Architect

2 weeks ago

Bengaluru, Karnataka, India AGCO Full time
Role Overview

AGCO is seeking an experienced Systems Architect, Artificial Intelligence to lead the design, creation, and evolution of system architectures for AI solutions within our organization. As a critical role, the Systems Architect, AI Systems, will be responsible for designing, implementing, and evolving scalable AI architectures that support and drive the company's AI and data strategies.

Key Responsibilities
  • AI Systems Architecture: Design and implement scalable architectures that support AI/ML models and data systems, optimizing for performance, cost-efficiency, and security.
  • Cloud Platform Expertise: Leverage cloud environments (AWS, GCP, Azure) to architect solutions that support high-volume data processing, storage, and AI model deployment.
  • Data Integration & Pipeline Design: 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.
  • Model Deployment and Monitoring: 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.
  • Tool Evaluation and Adoption: 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.
  • Security and Compliance: 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.
  • Documentation and Best Practices: Establish and maintain comprehensive documentation of architecture designs, policies, and processes, promoting best practices across the AI & Data Operations organization.
Requirements
  • Advanced AI and Data Systems: Deep understanding of AI architectures, including distributed computing frameworks (e.g., Apache Spark, Hadoop), data lakes, data warehousing, and MLOps.
  • Cloud Infrastructure and Services: 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.
About AGCO

AGCO is Great Place to Work Certified and has been recognized for delivering exceptional employee experience and a positive workplace culture. We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruiting, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.

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