Contract Data Streaming Jobs (NOW HIRING)

Are you a builder who gets energized turning ideas into production systems. Do you want to build AI-powered agents and data-driven solutions that solve real-world operational problems at Amazon's global scale. If working with GenAI, data infrastructure, streaming APIs, and shipping solutions fast excites you - this role is for you.
Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Systems Development Engineer with a software development background and passion for AI/data systems to join our Decision Intelligence team

You will build and ship agentic AI solutions and AI-enabled data infrastructure that integrates with third-party platforms (ServiceNow, APM etc,), first-party Amazon systems, and cross-organizational services spanning OTS and Reliability Maintenance Engineering (RME).
You will take designs and POCs and turn them into production-grade agents, MCPs (Model Context Protocols), and data-driven automation systems that drive measurable impact across Amazon's worldwide operations. A critical part of this role is ensuring our AI agents are backed by robust, well-architected data pipelines - building the streaming connections, APIs, and data integrations that make agents intelligent and analytical tools prescriptive. You'll own the development of Data MCPs and Analytical MCPs that power self-service data access and AI-ready infrastructure for our team and partners.
You'll work alongside senior engineers, data scientists, and data engineers - learning business processes directly from the field and translating them into intelligent, data-backed automation that supports technicians and engineers globally.
Key job responsibilities
Agent Development & Data-Driven AI Solutions
- Build and maintain agentic AI solutions - implementing agent orchestration logic, API integrations with ServiceNow (3P), and Amazon internal systems (1P)
- Develop Data MCPs and Analytical MCPs that enable AI agents and partners to consume, query, and act on operational data effectively
- Build and maintain streaming data connections and APIs that feed AI agents with real-time, high-quality data inputs
- Partner with Data Scientists and Data Engineers to implement AI-ready data pipelines, ensure data quality, and develop agent capabilities (LLM tool-use, prompt templates, RAG patterns)
- Translate POCs into production-ready systems with high code quality - writing tests, documentation, and monitoring from day one
Data Architecture & System Integration
- Architect and build AI-enabled data infrastructure that ensures agents and analytical tools have reliable, governed, and performant access to data
- Build integrations across OTS and RME ecosystems, connecting agents to upstream/downstream data sources, streaming platforms, and enterprise services
- Ensure data readiness for AI - designing schemas, data contracts, and pipeline patterns that make data consumable by agents and ML models at scale
- Implement user-facing platform features and dashboards where AI integrations and analytical MCPs surface prescriptive recommendations to field partners
- Contribute to guardrails, evaluation mechanisms, and data quality checks for production AI systems
Engineering Excellence & Operational Ownership
- Write clean, well-tested, production-quality code and participate in code reviews
- Own features end-to-end - from implementation through CI/CD deployment to production monitoring
- Participate in on-call rotations and drive operational excellence for production agents and data pipelines
- Deploy long-term scalable solutions - not throwaway prototypes - with observability, alerting, and production-readiness standards
A day in the life
This role partners with data and systems organizations across OTS to build automations, data solutions, and agentic AI tools that provide a prescriptive mindset for our field operations, IT, and maintenance partners

You'll work with data streaming solutions, APIs, and data teams to build production-grade systems backed by AI and robust data integration processes.
On any given day, you might be building a streaming data pipeline that feeds an AI agent's decision engine, developing an Analytical MCP that gives partners self-service access to operational insights, coding a ServiceNow API integration, or pairing with a Data Scientist to ensure a model has the right data inputs at the right latency. You'll also architect solutions that ensure data quality, governance, and readiness for AI consumption across the ANCHOR platform. This team supports worldwide solutions covering all Amazon sites globally - you'll collaborate across time zones with engineers in France, Luxembourg, and the US.
About the team
We build and deploy AI-powered agents and data solutions that automate operational workflows across Amazon's worldwide IT support, field operations, and reliability maintenance teams.
Our portfolio includes agents for automated MCM creation, printer recommendation, severity triaging, service desk automation, Data MCPs, and Analytical MCPs

We're a small, fast-moving global team with a startup-within-Amazon mentality. We ship fast, experiment boldly, and measure everything - but deploy with a high bar for production readiness.
Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.