Manager, Support Engineer, Global Solutions and Risk Compliance (GSRC)
Bengaluru, IndiaOn-siteFull-timeMid · 3+ years
About this role
Support Engineer Manager leading AI automation workstreams requiring expertise in workflow orchestration, API integrations, and ML model development. Manages end-to-end delivery of complex automation projects including requirement documentation, API integration across 13+ enterprise tools, workflow development with XML and TypeScript implementation, ML model integration with prompt engineering and Python-based data processing, technical design documentation (HLD creation), privacy .
Key job responsibilities
Lead end-to-end delivery of AI automation projects across intake (requirement documentation, feasibility assessment), tool integration (API analysis and implementation with TypeScript for simple through complex scenarios), design and development (HLD creation, data pre-processing with Python, ML model training with prompt engineering, workflow stitching with XML and TypeScript, code review and debugging, privacy/InfoSec reviews), quality monitoring (proactive alarm setup), UAT coordination (execution, issue resolution, sign-off), technical documentation (runbook creation), and warranty/maintenance (RCA ownership, ongoing resolution). Mentor technical teams requiring capabilities in workflow development, API integrations, and ML model optimization while managing resource allocation, timeline commitments, and stakeholder communication across portfolio of multiple use cases spanning 3-12 week delivery cycles.
About the team
Amazon is an E-commerce and Cloud Computing company with headquarters in Seattle, Washington. Since 1995, Amazon has focused on being “the world’s most customer centric company.” Our customers are worldwide, and include not just consumers, but also our sellers and vendors (selling partners). World-class retail brands and individual sellers increase their sales and reach new customers by leveraging the power of the Amazon e-commerce platform. To meet our selling partners’ needs, our smart, diverse, customer-obsessed employees are constantly innovating and building on new ideas.
- 3+ year professional experience using SQL to gather data and generate reports
- Experience with data visualization using Tableau, Quicksight, or similar tools
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Key job responsibilities
Lead end-to-end delivery of AI automation projects across intake (requirement documentation, feasibility assessment), tool integration (API analysis and implementation with TypeScript for simple through complex scenarios), design and development (HLD creation, data pre-processing with Python, ML model training with prompt engineering, workflow stitching with XML and TypeScript, code review and debugging, privacy/InfoSec reviews), quality monitoring (proactive alarm setup), UAT coordination (execution, issue resolution, sign-off), technical documentation (runbook creation), and warranty/maintenance (RCA ownership, ongoing resolution). Mentor technical teams requiring capabilities in workflow development, API integrations, and ML model optimization while managing resource allocation, timeline commitments, and stakeholder communication across portfolio of multiple use cases spanning 3-12 week delivery cycles.
About the team
Amazon is an E-commerce and Cloud Computing company with headquarters in Seattle, Washington. Since 1995, Amazon has focused on being “the world’s most customer centric company.” Our customers are worldwide, and include not just consumers, but also our sellers and vendors (selling partners). World-class retail brands and individual sellers increase their sales and reach new customers by leveraging the power of the Amazon e-commerce platform. To meet our selling partners’ needs, our smart, diverse, customer-obsessed employees are constantly innovating and building on new ideas.
Basic Qualifications
- Bachelor's degree or equivalent- 3+ year professional experience using SQL to gather data and generate reports
- Experience with data visualization using Tableau, Quicksight, or similar tools
Preferred Qualifications
- Hands on experience of data modeling, data pipeline design, or data warehouse is a plusOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.