AI AWS Lead

Role purpose

• Architect, implement, and manage AI infrastructure on AWS.
• Bridge the gap between AI development and cloud infrastructure
• Optimize performance, security, and cost-effectiveness of AI systems

Accountabilities

• Lead the design and architecture ensuring scalability, maintainability, and performance.
• Collaborate with development teams to understand requirements and provide architectural guidance and support.
• Collaborate with cross-functional stakeholders to understand business requirements and translate them into technical solutions
• Work closely with Product and Business stakeholders to understand the needs of the business and engineering teams ensuring the platform meets the needs of the users.
• Define implementation approaches, algorithms, and code structures to meet requirements.
• Stay up to date on latest trends and new technologies in the AWS & AI space, evaluate their potential to introduce into our ecosystem based on their potential impact.
• Architect experience and responsibility includes defining, prototyping and recommending the technology solutions, detailing the implementation design and identifying interfaces with other products for integration.

Critical success factors & key challenges

• Strong solution design, logical and reasoning skills
• Ability to deliver POCs/ MVPs, technology evaluations following design thinking practices
• Ability to orchestrate efforts needed to prioritize business initiatives across complex change agendas

• 6-8 years' experience in AWS cloud architecture
• Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields
• Very strong understanding of AWS cloud technologies including SageMaker and Bedrock
• Experience implementing and managing cloud infrastructure as code using Terraform
• Excellent analytical, problem-solving, communication, and teamwork abilities

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, marital or veteran status, disability, or any other legally protected status.

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