AWS Al / IoT Architect

Role overview Design and deliver secure, multi-tenant IoT platforms that connect embedded Linux devices and edge AI hardware with cloud services. This hands-on architect role spans device software, fleet operations, cloud integration, and generative AI applications, working across cloud, embedded, and hardware teams.

Responsibilities - Build device onboarding, identity, connectivity, and fleet-management workflows, including certificate-based authentication and tenant isolation. - Develop and deploy edge software components for resource-constrained Linux devices, including recovery and state-management behavior. - Create AI applications using managed foundation models, retrieval-augmented generation, and agent workflows connected to enterprise systems. - Develop Python services and APIs, along with prompts and structured extraction workflows for business applications. - Implement evaluation datasets, automated quality checks, and layered safeguards for AI systems and sensitive data. - Deliver secure device updates and fleet rollouts; validate behavior using simulators and physical development boards.

Requirements - Five or more years in IoT, embedded software, cloud engineering, or a related field, with production-system responsibility. - Demonstrated experience delivering connected-device solutions across embedded Linux, cloud integration, device security, and operations. - Strong Python and software engineering skills, including API development, testing, debugging, and maintainable design. - Experience with AWS IoT device and fleet services, and tenant-aware backend workflows using services such as Lambda, Step Functions, EventBridge, and DynamoDB. - Practical knowledge of RAG, embeddings, vector search, retrieval quality, and grounding responses in enterprise data. - Experience building agents and tool integrations with validation, controlled execution, and error handling.

Nice to have - A relevant engineering or computer science degree, though equivalent experience is considered. - Experience with edge AI accelerators, secure hardware key storage, FPGA deployment, or other IoT platforms. - Familiarity with device security regulations and software bill of materials practices.

Benefits and work setup Travel is typically 5% or less annually.