AWS AI, IoT Architect

Job not on LinkedIn

🕒 Yesterday

🎰 Nevada – Remote

🎰 Nevada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Redapt, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1996

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Redapt, Inc. is an end-to-end technology solutions provider that helps organizations optimize their performance and reduce operational costs through expert guidance in areas such as Artificial Intelligence, Machine Learning, Cloud Adoption, Data Analytics, and Cybersecurity. With over 26 years of experience, Redapt partners with leading technology companies to deliver tailored solutions, supporting clients in application modernization, enterprise infrastructure, and multi-cloud operations. The company is committed to empowering businesses to overcome technological challenges and unlock growth through innovative technology integration.

📋 Description

• Design and implement AWS IoT Core solutions for device onboarding, connectivity, identity, fleet management, and tenant isolation • Develop AWS IoT Greengrass v2 components, recipes, and deployments for Java nucleus and nucleus lite • Design, develop, test, and deploy AI applications using Amazon Bedrock foundation models and AWS services • Build retrieval-augmented generation solutions using Bedrock Knowledge Bases or custom retrieval pipelines • Implement AI agents and tool integrations connecting models to enterprise APIs and workflows • Develop prompts and structured extraction workflows for document understanding, classification, summarization, and business process automation • Build Python services and APIs integrating AI capabilities with customer applications, databases, and enterprise data sources • Create evaluation datasets and automated tests for accuracy, grounding, extraction quality, and agent task completion • Implement AI safeguards using Bedrock Guardrails, IAM, encryption, data access controls, output validation, and prompt-injection protections • Build on-device agents in Python and C/C++ for embedded Linux, Yocto board images, systemd services, and cross-compilation for Arm targets • Implement secure OTA pipelines for applications, models, and firmware, including signing, verification, staged rollout, health checks, recovery, rollback, and anti-rollback controls • Manage AWS IoT thing groups and IoT Jobs, including rollout rates, abort thresholds, retries, and fleet deployment status • Build MQTT telemetry pipelines, topic structures, message schemas, and IoT rules routing data to streaming services and Amazon S3 • Test at fleet scale using containerized device simulators and physical-board lab testing • Apply device security practices including secure boot, debug-port lockdown, least-privilege IoT policies, and hardware-backed keys • Collaborate with cloud, embedded, and hardware teams to deliver and validate reliable solutions

🎯 Requirements

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field preferred; equivalent experience considered • 5+ years of experience in IoT, embedded software, cloud engineering, or related roles, with hands-on responsibility for production systems • Demonstrated delivery of AWS-connected device solutions spanning embedded Linux development, secure device lifecycle management, cloud integration, and production operations • Strong Python and software engineering skills, including API development, automated testing, debugging, code review, and maintainable application design • AWS IoT Device Management and AWS IoT Device Defender, including fleet indexing, secure tunneling, and audit checks • Knowledge and experience developing tenant-aware AWS backend workflows with Lambda, Step Functions, EventBridge, and DynamoDB partition design for multi-tenant data, with tenant-scoped IAM and IoT policies • Practical experience with RAG, embeddings, vector stores, retrieval quality, and grounding responses in enterprise data, including Amazon Bedrock Knowledge Bases • Experience building agent workflows and tool calling, with schema validation, controlled execution, error handling, and integration with external systems • Additional valued experience includes Hailo AI processors and accelerators, Microchip PolarFire SoC, hardware-backed device identity and key storage, EU Cyber Resilience Act requirements, other IoT platforms, and FPGA fundamentals

🏖️ Benefits

• Travel typically 5% or less a year • Equal opportunity employment protections

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