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Senior Software Development Engineer - GenAI, Amazon Ads - Creative X
Salary not available. View on company website.
Amazon.com, Inc, Edinburgh
- Onsite working
- Full time
- Graduate programme
Posted 5 days ago, 28 Mar
Job ref: bc900afd391d408ea26a47c83b16de36
Full Job Description
Shape the future of Generative AI at Amazon! Join our team building the infrastructure and platforms that power next-generation AI capabilities used by thousands of developers across Amazon's products and services.
Be part of a dynamic team bridging advanced AI research with real-world applications. We're looking for passionate engineers to create tools and platforms that accelerate AI innovation while maintaining the highest standards of security and scalability.
Key Highlights:
- Work directly with AI researchers and scientists to transform innovative ideas into production systems
- Build and own critical infrastructure powering Amazon's next-generation AI capabilities
- Create developer platforms and tools that accelerate AI innovation
- Drive the future of ethical and sustainable AI development
- Work with advanced technologies including AWS Bedrock, SageMaker, and custom MLOps tools
What You'll Do:
- Design and implement scalable, production-ready AI infrastructure and platforms
- Create intuitive tools and interfaces for AI model deployment and management
- Build robust APIs and services that enable AI capabilities across Amazon
- Collaborate with science teams to optimize AI development workflows
- Ensure security, scalability, and operational excellence of AI systems
Why You'll Love It:
Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon
Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering
Growth: Learn from experts while working with the latest in AI technology
Purpose: Help shape responsible AI development practices and sustainable computing
Team: Join a collaborative environment focused on solving complex, meaningful challenges
This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds.
Key job responsibilities
Technical Leadership
- Design and build scalable AI infrastructure and MLOps platforms
- Lead technical design discussions for medium to large-scale projects
- Own full software development lifecycle from design to production
- Make architectural decisions that balance innovation with operational excellence
Development & Implementation
- Create secure APIs and services that expose AI capabilities
- Build developer tools and interfaces for AI model deployment
- Implement monitoring and observability solutions
- Write high-quality, well-tested code following best practices
Technical Collaboration
- Work with science teams to understand and deliver technical requirements
- Partner with product teams to integrate AI capabilities
- Mentor junior engineers and contribute to code reviews
- Participate in on-call rotation for production support
Innovation & Operations
- Drive continuous improvement of existing systems and processes
- Ensure solutions meet security and performance standards
- Contribute to technical roadmap and strategic planning
- Champion sustainable and ethical AI development practices
Experience in professional, non-internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence, Bachelor's degree
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Be part of a dynamic team bridging advanced AI research with real-world applications. We're looking for passionate engineers to create tools and platforms that accelerate AI innovation while maintaining the highest standards of security and scalability.
Key Highlights:
- Work directly with AI researchers and scientists to transform innovative ideas into production systems
- Build and own critical infrastructure powering Amazon's next-generation AI capabilities
- Create developer platforms and tools that accelerate AI innovation
- Drive the future of ethical and sustainable AI development
- Work with advanced technologies including AWS Bedrock, SageMaker, and custom MLOps tools
What You'll Do:
- Design and implement scalable, production-ready AI infrastructure and platforms
- Create intuitive tools and interfaces for AI model deployment and management
- Build robust APIs and services that enable AI capabilities across Amazon
- Collaborate with science teams to optimize AI development workflows
- Ensure security, scalability, and operational excellence of AI systems
Why You'll Love It:
Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon
Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering
Growth: Learn from experts while working with the latest in AI technology
Purpose: Help shape responsible AI development practices and sustainable computing
Team: Join a collaborative environment focused on solving complex, meaningful challenges
This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds.
Key job responsibilities
Technical Leadership
- Design and build scalable AI infrastructure and MLOps platforms
- Lead technical design discussions for medium to large-scale projects
- Own full software development lifecycle from design to production
- Make architectural decisions that balance innovation with operational excellence
Development & Implementation
- Create secure APIs and services that expose AI capabilities
- Build developer tools and interfaces for AI model deployment
- Implement monitoring and observability solutions
- Write high-quality, well-tested code following best practices
Technical Collaboration
- Work with science teams to understand and deliver technical requirements
- Partner with product teams to integrate AI capabilities
- Mentor junior engineers and contribute to code reviews
- Participate in on-call rotation for production support
Innovation & Operations
- Drive continuous improvement of existing systems and processes
- Ensure solutions meet security and performance standards
- Contribute to technical roadmap and strategic planning
- Champion sustainable and ethical AI development practices
Experience in professional, non-internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence, Bachelor's degree
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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