Solution Architect

About the Role

Syngentas IT Business Partnering team for Legal is looking for a ?Solutions Architect, Legal? to design, develop, and deliver innovative technology solutions. Define HOW the solution will be built architecture, integrations, security, scalability. You will lead a small team of developers, work on low-code platforms, integrate AI/ML capabilities, and leverage modern data architectures to meet business needs.

Key Responsibilities

. Lead solution design and development using Caspio, Power Apps and other appropriate technologies

. Integrate AI, ML, LLM, and Generative AI into applications.

. Work with DBMS, Databricks, and Data Mesh for data-driven solutions.

. Mentor junior developers and ensure best practices in coding and architecture.

. Collaborate with Legal stakeholders to translate requirements into scalable solutions.

. Stay ahead of emerging technologies and drive innovation.

Why Join Us

. Lead impactful projects in a global organization.

. Work at the intersection of technology, legal, and innovation.

. Be part of a team that values curiosity, collaboration, and creativity.

60,000

A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet.

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. Bachelors or Masters degree in ?Computer Engineering?, ?AI Engineering?, or related field (preferred).

. 8+ years of experience in software development, cloud architecture, or data engineering, with at least 2 years focused on designing and implementing AI/ML solutions.

. Proven expertise in architecting and deploying solutions on AWS, with deep knowledge of:

o AWS AI/ML Services: Amazon SageMaker (Studio, Notebooks, Training, Inference Endpoints, Pipelines, Feature Store, Model Monitor), Amazon Textract, Amazon Comprehend, Amazon Kendra, Amazon Forecast

o Core AWS Services: EC2, S3, Lambda, VPC, RDS, DynamoDB, Kinesis, Glue, Redshift, Athena, EMR, Lake Formation.

o DevOps & MLOps: AWS CodeCommit, CodeBuild, CodePipeline, CloudFormation, AWS CDK, Terraform, Docker, Kubernetes (EKS).

o Security & Monitoring: IAM, CloudWatch, CloudTrail, KMS.

. Strong programming skills in Python.

. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

. Solid understanding of data warehousing, data lakes, and data governance principles.

. Excellent problem-solving, communication, and leadership skills.

. Passion for technology and continuous learning.

Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.

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