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Amazon - Austin, TX
posted 2 months ago
About the position
The Sr Solutions Architect, AI/ML Sustainability Lead at Amazon is responsible for driving sustainable transformations in the energy and utilities sector by leveraging cloud and AI technologies. This role involves acting as a trusted advisor to customers, guiding them towards innovative sustainability solutions, and collaborating with engineering and product teams to influence the development of sustainability-focused services. The architect will also create training materials and documentation to empower the AWS Solutions Architect community and ensure effective integration of sustainability solutions into customer architectures.
Responsibilities
- Act as a technical liaison between customers and AWS product teams, gathering and communicating customer requirements and feedback.
- Design and build innovative, scalable sustainability solutions using AWS services such as Amazon EC2, S3, RDS, and analytics services.
- Develop comprehensive training materials, best practices guides, and reference architectures for the AWS Solutions Architect community.
- Implement machine learning models using services like Amazon SageMaker to drive sustainability insights and optimize operations.
- Establish thought leadership in sustainability and cloud through technical blogs, white papers, and presentations at AWS events.
Requirements
- 8+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.
- 3+ years of experience in design, implementation, or consulting in applications and infrastructures.
- Demonstrated experience or strong interest in sustainability initiatives and environmental management systems.
- Excellent verbal and written communication skills, with experience presenting complex technical concepts to diverse audiences.
- Prior experience in a customer-facing technical role, translating business requirements into technical solutions.
Nice-to-haves
- 5+ years of experience in infrastructure architecture, database architecture, and networking.
- Experience working with end user or developer communities.
- AWS Certified Solutions Architect - Professional certification; additional certifications in machine learning or sustainability are desirable.
- Hands-on experience with programming languages such as Python, Java, or Go, and familiarity with infrastructure-as-code tools like AWS CloudFormation or Terraform.
Benefits
- Mentorship and career growth opportunities.
- Work-life balance initiatives.
- Diversity and inclusion programs.
- Flexible working culture.
