AWS AI, IoT Architect

This is a fully remote position, open to applicants in Nevada.

📋 Description

• Design and implement solutions utilizing AWS IoT Core for device onboarding, connectivity, identity management, fleet oversight, and tenant isolation.

• Create components, recipes, and deployments for AWS IoT Greengrass v2, focusing on both Java nucleus and nucleus lite.

• Architect, develop, test, and deploy AI applications leveraging Amazon Bedrock foundation models along with AWS services.

• Construct retrieval-augmented generation solutions through Bedrock Knowledge Bases or custom retrieval pipelines.

• Implement AI agents and tool integrations that connect models to enterprise APIs and workflows.

• Develop prompts and structured extraction workflows aimed at document understanding, classification, summarization, and business process automation.

• Create Python services and APIs that integrate AI functionalities with customer applications, databases, and enterprise data sources.

• Generate evaluation datasets and automated tests focusing on accuracy, grounding, extraction quality, and the completion of agent tasks.

• Establish AI safeguards using Bedrock Guardrails, IAM, encryption, data access controls, output validation, and protections against prompt injections.

• Develop on-device agents in Python and C/C++ for embedded Linux, including Yocto board images, systemd services, and cross-compilation for Arm targets.

• Implement secure Over-The-Air (OTA) pipelines for applications, models, and firmware, covering signing, verification, staged rollout, health checks, recovery, rollback, and anti-rollback measures.

• Oversee AWS IoT thing groups and IoT Jobs, managing rollout rates, abort thresholds, retries, and the status of fleet deployments.

• Construct MQTT telemetry pipelines, including topic structures, message schemas, and IoT rules to route data to streaming services and Amazon S3.

• Conduct testing at fleet scale using containerized device simulators and physical-board laboratory testing.

• Apply device security practices, such as secure boot, lockdown of debug ports, least-privilege IoT policies, and hardware-backed keys.

• Collaborate with cloud, embedded, and hardware teams to deliver and validate robust solutions.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field is preferred; equivalent experience will be considered.

• A minimum of 5 years of experience in IoT, embedded software, cloud engineering, or similar roles, demonstrating hands-on responsibility for production systems.

• Proven experience in delivering AWS-connected device solutions that encompass embedded Linux development, secure device lifecycle management, cloud integration, and production operations.

• Strong proficiency in Python and software engineering practices, including API development, automated testing, debugging, code review, and maintainable application design.

• Familiarity with AWS IoT Device Management and AWS IoT Device Defender, involving fleet indexing, secure tunneling, and audit checks.

• Knowledge and experience in developing tenant-aware AWS backend workflows utilizing Lambda, Step Functions, EventBridge, and DynamoDB partitioning for multi-tenant data, along with tenant-scoped IAM and IoT policies.

• Practical experience with Retrieval-Augmented Generation (RAG), embeddings, vector stores, retrieval quality, and grounding responses in enterprise data, including Amazon Bedrock Knowledge Bases.

• Experience in building agent workflows and tool calling, including schema validation, controlled execution, error handling, and integration with external systems.

• Additional valuable experience includes working with Hailo AI processors and accelerators, Microchip PolarFire SoC, hardware-backed device identity and key storage, adherence to EU Cyber Resilience Act requirements, knowledge of other IoT platforms, and FPGA fundamentals.

🏝️ Benefits

• Travel typically accounts for 5% or less of the annual schedule.

• Equal opportunity employment protections.