Amazon.com Services LLC
Technology
AI&AWSSoftwareDevelopmentEngineer,RinglinkCSTechnologyEnablement
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“AI & AWS Software Development Engineer, Ringlink CS Technology Enablement at Amazon.com Services LLC. Skills: AI/ML, AWS, Amazon Connect, Software Development. Research and evaluate AWS AI services. Leverage Amazon Connect AI capabilities”
What You'll Achieve.
Improve efficiency; Set new standards; Provide measurable business value; Handle millions of interactions; Achieve sub-second response times; Maximize ROI; Minimize cost; Ensure system reliability; Ensure rapid incident response
Industry & Context.
Root cause analysis; Troubleshooting; System health management; Performance monitoring; Cost optimization
On-call rotations
What They're Looking For.
Must Have
5+ years experience, Experience with AWS AI services, Production deployment experience, Deep knowledge of Amazon Connect AI, Experience building ML/AI systems, Model monitoring experience, A/B testing experience, Performance optimization experience, Expertise with AWS compute optimization, Experience with auto-scaling, Experience with load balancing, Experience with cost optimization, Experience with real-time systems, Experience with low-latency requirements
Nice to Have
Experience with prompt engineering, Experience with RAG systems, Experience with model fine-tuning
What You'll Do.
Research and evaluate AWS AI services
Leverage Amazon Connect AI capabilities
Determine adoption of AI technologies
Assess impact of AI technologies
Create proof of concepts
Create pilot programs
Collaborate with data science teams
Productionize ML models
Manage ML model lifecycle
Drive AI model performance optimization
Monitor AI model performance
Improve AI models continuously
Own implementation of features
Deploy features to production
Lead technical discussions
Build scalable solutions
Build secure solutions
Build reliable solutions
Build cost-optimized solutions
Integrate AWS compute services
Integrate core AWS offerings
Integrate AI technologies
Lead CS in leveraging Amazon Connect
Replace custom coded solutions
Define integration architecture
Define service definitions
Balance customer needs
Balance technical constraints
Deliver optimal solutions
Build customer support automation solutions
Handle millions of interactions
Achieve sub-second response times
Drive continuous improvements
Improve development processes
Improve deployment processes
Implement automated testing
Implement deployment pipelines
Implement comprehensive testing strategies
Monitor system performance
Manage proactive system health
Optimize system performance
Optimize system costs
Utilize resources efficiently
Improve architecture across AWS
Monitor AWS infrastructure framework
Manage AWS permissions
Manage AWS exceptions
Lead evaluation for failover
Lead evaluation for recovery
Lead evaluation for data replication
Lead evaluation for scaling bottlenecks
Lead evaluation for latency
Lead evaluation for security
Maximize Ring & Blink CS ROI
Optimize architecture
Work with product teams
Work with business teams
Maintain current state architecture artifacts
Build target state architectures
Advise program management
Identify technology dependencies
Identify external dependencies
Build work-back plans
Lead collaboration across diverse groups
Ensure CS is securing neighbor data
Adhere to Amazon's standards
Work with Security teams
Work with Privacy teams
Get directional buy-ins
Design security architecture
Design security controls
Ensure compliance with regulations
Implement security best practices
Provide technical mentoring
Elevate team capabilities
Maintain high code quality
Create reusable solutions
Create reference architectures
Lead development of technical content
Lead delivery of technical content
Share lessons learned
Participate in on-call rotations
Ensure system reliability
Ensure rapid incident response
Integrate AI technologies
Integrate customer support infrastructure
Leverage AWS offerings
Build robust solutions
Automate customer support
Handle millions of interactions
Achieve sub-second response times
Drive technical improvements
Optimize model performance
How You'll Work.
Team & Collaboration
Cross-functional teams; Diverse groups; Engineering teams; Product teams; Security teams; Privacy teams; Legal teams; Operations teams
Communication Scope
Technical presentations; Technical content
Process & Methodology
Work-back plans
Full Job Description
The Ring and Blink Customer Service Engineering Services team is transforming how we serve thousands of customers through innovative AI solutions. Our team is building the future of customer service, developing intelligent systems that provide timely, proactive support while improving efficiency. We're looking for an experienced Software Development Engineer to design and deliver key components of our AI initiatives. In this role, you'll design and implement critical features of our AI-powered customer service platform, make key architectural decisions, and help define technical approaches for automated support systems. You'll work across teams to develop scalable solutions that set new standards for AI-powered customer service. Key job responsibilities AI/ML Strategy & Innovation · Research and evaluate AWS AI services (Bedrock, Amazon Q, SageMaker, Comprehend, Lex, Polly, Transcribe) and Amazon Connect AI features for customer service applications · Leverage Amazon Connect's AI capabilities including Contact Lens, Customer Profiles, Evaluations, and QinC to build intelligent customer service solutions · Determine when to adopt emerging AI technologies and assess their impact on current and future solutions, including integration with existing systems · Create proof of concepts and pilot programs to promote AI-driven automations and optimizations for technology and business processes · Collaborate with data science teams to productionize ML models and ensure smooth model lifecycle management using AWS compute infrastructure · Drive AI model performance optimization, including monitoring, A/B testing, and continuous improvement initiatives Technical Leadership · Own end-to-end technical design and implementation of major features within our AI initiatives and AWS infrastructure, from initial concept through production deployment · Lead technical discussions and design reviews for new features, ensuring alignment with business objectives and technical constraints · B
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