ADCI
e-commerce
PrincipalSoftwareEngineer,RBS
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Software Engineer, RBS at ADCI. Skills: Agentic platforms, GenAI, ML platforms, Automation. Lead charter to accelerate business functions. Envision and develop ML/GenAI-driven Agentic core platforms”
Industry & Context.
Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
12+ years of IT industry experience, Experience designing, building and maintaining software systems of large scale and complexity, Hands on experience with big data processing/storage, Hands on experience with object-oriented design, Hands on experience with usage of GenAI, Experience in working with multiple cross functional, cross geography teams, Experience of leading and mentoring senior engineers, Proven track record of delivering high-quality software
Nice to Have
Experience building web-scale systems and products, Good understanding of Machine Learning, Good understanding of Neural Networks, Good understanding of Image/Video processing
What You'll Do.
Lead charter to accelerate business functions
Envision and develop ML/GenAI-driven Agentic core platforms
Enable self-service building of agents
Perform cognitive tasks autonomously
Define and build scalable platforms for automation
Leverage state-of-the-art technologies
Understand express and latent needs
Define core services and platforms
Enable rapid automation
Enable self-service automation
Enable low-code/no-code automation
Deskilling automation development
Set right quality bar
Lead technology decisions
Empower thousands of task automation
Review work constructively
Create supportive learning environment
Tackle ambiguous technical challenges
Build mechanisms to expand coverage
Maintain platform coverage
Provide technical leadership
Set technology vision
Architect and design platforms and services
Make optimal technical decisions
Inspire other engineers
Build consensus on decisions
Harmonize on decisions
Partner with senior roles
Optimize at company/group level
Set high technical bar
Exert technical influence
Increase team productivity
Increase team effectiveness
Share deep knowledge and experience
How You'll Work.
Team & Collaboration
Working with business teams; Working with product teams; Working with peers; Working with stakeholders; Collaborate with the team; Partner with other senior roles
Full Job Description
The Retail Business Services (RBS) Technology team's mission is to transform the Amazon's e-commerce business through technology, delivering order of magnitude higher speed, scale and impact. This Principal Engineer role leads a strong charter to accelerate business functions currently done manually, by envisioning and developing ML/GenAI-driven Agentic core platforms, thus enabling self-service building of agents to perform cognitive tasks autonomously. Providing a delightful experience to Amazon's e-commerce customers and selling partners requires thousands of various types of tasks performed by business teams that operate at the interface of the company as well at the heart of it. These teams work with vendors to source products to increase selection and choice for the customers, audit the app/website experience to ensure trustworthy information is provided to customers to enable confident purchases, learn from customer feedback on product reviews and returns, and ensure the inventory is placed at the right location for fast delivery of orders, just to name a few activities. Manual activities reduces speed of operations, introduce undesirable variations and limit scale. Hence there is a need to automate these, while overcoming the challenges of 1) task-by-task automation being inefficient, 2) human cognitive work automation requires equivalent or better intelligent systems, 3) a vast variety of business use cases, and 4) ability to integrate with the existing ecosystem of 100s of tools. The Principal Engineer owns the charter of defining and building these scalable platforms for automation, leveraging the state-of-the-art technologies such as GenAI and Agentic infrastructure. The role will understand the express and latent needs of the space, by working with business and product teams. Further, the role will define the core services and platforms that will enable rapid automation through leverage of ML/GenAI. These platforms will enable self-service, low-code/no-
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