Systems Architect, Artificial Intelligence

Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution Join us to make your contribution.

**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**
- Bachelor’s degree in computer science, data science, or related field. Master’s 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**
- GLOBAL DIVERSITY - Diversity means many things to us, different brands, cultures, nationalities, genders, generations - even variety in our roles. You make us unique
- ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential.
- POSITIVE IMPACT - Make it personal and help us feed the world.
- INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence - and work alongside teams of people worldwide who share your enthusiasm.
- MAKE THE MOST OF YOU - Benefits include health care and wellness plans and flexible and virtual work option.

**Your Workplace**

AGCO is Great Place to Work Certified and has been recognized for delivering exceptional employee experience and a positive workplace culture. We value in