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Systems Architect, Artificial Intelligence
ConfidentialBengaluru / Bangalore9 days ago
Job descriptionAGCO is looking to hire candidates for the position of Systems Architect, AI Systems We are seeking an experienced and innovative Systems Architect, AI Systems to lead the design, creation, and evolution of system architectures for AI solutions within our organization The Systems Architect, AI Systems, is a critical role responsible for designing, implementing, and evolving scalable AI architectures that support and drive the company's AI and data strategies The ideal candidate will have extensive experience in architecting, deploying, and managing AI solutions in cloud-based environments, with a focus on high performance, security, and interoperability This role will work closely with data science, engineering, and delivery teams to ensure AI systems are seamlessly integrated across the organizations operations Your Impact 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 Functional Knowledge 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 Business Expertise Experience in industries such as manufacturing, agriculture, or supply chain, particularly in AI and data use cases Familiarity with regulatory requirements related to data governance and security Experience with emerging technologies like edge computing, IoT, and AI / ML automation tools Your Experience And Qualifications 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 Data Engineering : Strong experience with ETL processes, real-time data streaming (Kafka, Spark Streaming), and data pipeline design Analytical Skills : Strong problem-solving abilities with the capacity to analyze system requirements and design scalable solutions that meet both technical and business needs Communication and Leadership : Excellent communication skills to explain complex architecture concepts to non-technical stakeholders, as well as the ability to lead technical discussions and mentor junior team members Certifications : Relevant certifications are a plus (e g, AWS Certified Solutions Architect, Google Professional Data Engineer, Certified Kubernetes Administrator) Your Benefits
Skills Required
Aws, Gcp, BigQuery
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Artificial Intelligence Architect • Bengaluru / Bangalore
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