AI & AWS Software Development Engineer , Ring/Blink CS Technology Enablement

Achievements

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.

Responsibilities

• 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
• Drive AI model performance optimization, including monitoring, A/B testing, and continuous improvement initiatives
• 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
• Build scalable, secure, reliable, and cost-optimized solutions that integrate AWS compute services (EC2, ECS, Fargate, Lambda) and core offerings (VPC, IAM, CloudFormation) with AI technologies
• Define integration architecture and service definitions for interactions between systems
• Balance customer needs with technical constraints to deliver optimal solutions that provide measurable business value
• Maximize Ring & Blink CS's ROI while minimizing cost through architectural optimization using both 1P and 3P systems
• Work with product and business teams to maintain current state architecture artifacts and build target state architectures for the product roadmap
• Advise program management on technology/external dependencies for delivering new feature requests and help build work-back plans
• Lead collaboration across diverse groups including engineering, product, security, privacy, legal, and operations teams
• Present technical solutions and recommendations to senior leadership and technical stakeholders

Technical Leadership

• Drive technical improvements across our AI systems including model performance optimization, cost reduction, and reliability enhancements using AWS core offerings
• Optimize system performance and costs through efficient resource utilization and architectural improvements across AWS services
• Monitor and manage AWS infrastructure framework services, roles, keys, permissions, exceptions, scaling, and patches
• Evaluate and architecture to manage failover and recovery, data replication, scaling bottlenecks, latency, and security

Infrastructure & Platform Management

• Build robust, scalable solutions for customer support automation that handle millions of interactions with sub-second response times
• Drive continuous improvements in development and deployment processes, including automated testing, monitoring, and deployment pipelines using AWS core services
• Ensure high quality and reliability through comprehensive testing strategies, performance monitoring, and proactive system health management

Cross-Functional Collaboration & Influence

• Work with product and business teams to maintain current state architecture artifacts and build target state architectures for the product roadmap
• Advisory on technology/external dependencies for delivering new feature requests and help build work-back plans
• Lead collaboration across diverse groups including engineering, product, security, privacy, legal, and operations teams
• Present technical solutions and recommendations to senior leadership and technical stakeholders

Security, Compliance & Risk Management

• Ensure CS is securing neighbor data by adhering to Amazon's security, privacy, legal, and operational standards
• Work with Security and Privacy teams on getting directional buy-ins for solutions
• Design security architecture and controls for AI/ML systems, ensuring compliance with contact center regulations (PCI DSS, HIPAA) and data privacy requirements
• Implement security best practices for customer-facing AI applications and voice communications

Thought Leadership & Development

• Conduct code reviews and provide technical mentoring to elevate team capabilities and maintain high code quality standards
• Create reusable solutions and reference architectures that other engineers and Solutions Architects can leverage
• Lead the development and delivery of technical content (white papers, workshops, presentations, sample code)
• Actively mentor and develop others, sharing lessons learned and best practices

Mentorship & On-call Rotations

• Participate in on-call rotations to ensure system reliability and rapid incident response
• Mentor: Conduct code reviews and provide technical mentoring to elevate team capabilities and maintain high code quality standards