Contract Systems Architect – AI, AWS, Consumer Platforms

Job not on LinkedIn

🔥 12 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

👻 Ghost score 12%

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MarcoPolo Learning

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MarcoPolo Learning is an award-winning early childhood education company focused on providing premium content and instructional support. The company enhances classroom quality and family engagement through innovative technology, offering products such as MarcoPolo For Educators and MarcoPolo For Families. Their solutions include teacher training, family engagement platforms, and child-facing apps that promote school readiness and skill development. MarcoPolo Learning supports educators and families in creating a connected and engaging learning environment for children.

📋 Description

• Assess product requirements, existing architecture, and infrastructure; identify risks, bottlenecks, and priorities • Design AWS architectures for consumer applications, including APIs, compute, storage, databases, caching, queues, and asynchronous processing • Evaluate AI models and providers against representative workloads, balancing output quality, latency, reliability, privacy, and cost • Design retrieval-augmented generation, structured outputs, tool use, and agent orchestration capabilities • Establish production controls for AI workflows, including evaluations, tracing, execution limits, retries, fallbacks, and human approval • Address authentication, authorization, user data protection, traffic spikes, abuse prevention, and responsive user experiences • Define infrastructure as code, deployment pipelines, environment separation, monitoring, backup, and recovery practices • Partner with engineers on implementation, review critical code and infrastructure changes, and validate assumptions through prototypes or load testing • Document decisions and provide clear handoff for independent team operation and extension • Deliver architecture assessments, prioritized recommendations, target architectures, implementation plans, prototypes or production components, infrastructure code, deployment configuration, runbooks, benchmarks, and handoff documentation

🎯 Requirements

• Strong track record as a Systems Architect, Staff/Principal Engineer, or technical leader building and operating production software • Deep hands-on AWS experience and ability to explain service choices and architectural tradeoffs • Experience shipping consumer applications and managing growth, availability, performance, and infrastructure costs • Production experience integrating LLMs and building AI workflows beyond demonstrations or proofs of concept • Current knowledge of leading commercial and open-weight models, with a repeatable approach to evaluating new releases • Strong backend engineering skills in Python, TypeScript/Node.js, or comparable languages • Experience with relational databases, caching, messaging, containers or serverless systems, and infrastructure as code • Practical understanding of AI security risks, including prompt injection, sensitive data exposure, and excessive tool permissions • Clear written communication, reliable project estimation, and experience delivering independently within an agreed scope • North American time zones preferred; candidates elsewhere must provide suitable working-hour overlap • Useful additional experience with early-stage startups, Amazon Bedrock, direct model-provider APIs, agent frameworks, MCP integrations, retrieval systems, vector search, personalization, multimodal AI, model routing, inference optimization, and cost measurement

🏖️ Benefits

• Project-based independent contractor engagement • Hourly or fixed project fee based on scope and experience • Flexible schedule with agreed overlap • Follow-on projects may be available

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