---
title: 'AWS Al / IoT Architect at Redapt'
canonical: 'https://feeny.ai/job/aws-al-iot-architect-redapt-las-vegas-jv4c1ys3nxbs'
type: 'job'
last_seen: '2026-11-07'
---

# AWS Al / IoT Architect at Redapt

- **Company:** Redapt
- **Location:** Las Vegas, NV / United States
- **Work type:** remote
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-11-07
- **Apply:** https://job-boards.greenhouse.io/redapt/jobs/5466467008

## Job description

AWS AI/IoT Architect

Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value.

We are looking for a Senior AWS IoT Architect to join our Cloud Solutions team. This hands-on role will build and operate secure, multi-tenant IoT platforms on AWS, connecting embedded Linux devices and edge AI hardware to cloud services, and building and deploying generative AI solutions on AWS using Amazon Bedrock.

Our engineers own implementation from device provisioning and on-device software through cloud integration, over-the-air updates, and fleet operations. You will work with cloud, embedded, and hardware teams to deliver reliable solutions and validate them on simulated fleets and physical development boards.

## Responsibilities

- Design and implement AWS IoT Core solutions for device onboarding, connectivity, identity, fleet management, and tenant isolation, using per-device X.509 certificates, mutual TLS, fleet provisioning with claim certificates, certificate revocation, and AWS Private CA.
- Develop AWS IoT Greengrass v2 components, recipes, and deployments for both the Java nucleus and nucleus lite, including on resource-constrained devices, with recovery and state-management behavior suited to the device.
- Design, develop, test, and deploy AI applications using Amazon Bedrock foundation models and AWS services, including model invocation, inference settings, and integration through AWS SDKs.
- Build retrieval-augmented generation (RAG) solutions using Amazon Bedrock Knowledge Bases or custom retrieval pipelines, including ingestion, chunking, embeddings, vector stores and vector search, retrieval quality, grounding in enterprise data, and source citations.
- Implement AI agents and tool integrations that connect models to enterprise APIs and workflows, with schema validation, controlled execution, error handling, explicit permissions, and human approval where needed.
- Develop prompts and structured extraction workflows for document understanding, classification, summarization, and business process automation.
- Build Python services and APIs that integrate AI capabilities with customer applications, databases, and enterprise data sources.
- Create representative evaluation datasets and automated tests to measure accuracy, grounding, extraction quality, and agent task completion; validate changes before release.
- Implement layered AI safeguards using Amazon Bedrock Guardrails, IAM, encryption, data access controls, output validation, and protections against prompt injection.
- Build on-device agents in Python and C/C++ for embedded Linux, build board images with Yocto, integrate systemd services, and cross-compile and package software for Arm and other embedded targets.
- Implement secure OTA pipelines for applications, models, and supported firmware, with manifests signed using AWS KMS or AWS Signer, verification before installation, staged rollout, health checks, failure recovery, rollback, and anti-rollback controls.
- Manage static and dynamic thing groups and AWS IoT Jobs, including rollout rates, abort thresholds, retries, and fleet deployment status.
- Build MQTT telemetry pipelines, topic structures, versioned message schemas, and IoT rules that route data to streaming services and Amazon S3, including buffering, reconnect behavior, and duplicate-message handling.
- Test at fleet scale with containerized device simulators and real-board lab testing, covering load, connectivity, provisioning, OTA, and recovery; diagnose connectivity, interrupted updates, power-loss recovery, security, and device performance issues.
- Apply device security practices, including secure boot, debug-port lockdown, least-privilege IoT policies, and hardware-backed keys where the device supports them.

## Skills you bring with you

- 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 in 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.

## Qualifications

- 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.

Additional experience we value

- Hailo AI processors and accelerators (Hailo-8, Hailo-10H, Hailo-15), including HailoRT, the Dataflow Compiler, and HEF artifacts.
- Microchip PolarFire SoC, including the VectorBlox SDK, VNNX artifacts, and the PolarFire security features.
- Hardware-backed device identity and key storage, including TPMs and secure elements such as Microchip ATECC608 or TA100, and approaches for devices with limited hardware key protection.
- Familiarity with EU Cyber Resilience Act requirements for security updates, vulnerability handling, and software bills of materials (SBOMs).
- Other IoT platforms, such as Avnet IoTConnect, and migration between IoT platforms.
- FPGA fundamentals, including secure bitstream packaging, deployment, compatibility validation, and recovery.

Travel required

- Travel typically 5% or less a year

## Equal Employment Opportunity

Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need.

## About Redapt

## Company Overview
- **One-liner**: Redapt is an end-to-end technology services and consulting firm that helps enterprises navigate complex infrastructure, cloud, data, AI, and security decisions.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Woodinville, Washington, USA
- **Founded**: 1996
- **Founders**: Rick Cantu (CEO) and David Cantu (CMO)

## Core Business
- **Primary industry**: IT Services and Consulting (Cloud, Data Center, Cybersecurity, AI)
- **Target customers**: Mid-market to Fortune 500 enterprises; B2B
- **Mission or purpose statement**: To bring clarity to a dynamic technical environment, helping businesses leverage emerging technologies to maintain a competitive advantage. Redapt embeds with leadership teams to turn complex technology decisions into clear, durable business outcomes.

## Products & Services
- **Datacenter Infrastructure & Logistics**: Hardware integration, rack integration, and global logistics to 40+ countries. Reduces deployment times from weeks to hours.
- **Cloud Adoption & Modernization**: Cloud strategy, migration, application modernization, and platform engineering across AWS, Azure, and Google Cloud. Over 200 migrations delivered with 40% faster timelines.
- **Managed Cloud Services**: Ongoing managed operations across AWS, Azure, and Google Cloud, including cost optimization, well-architected design, and proactive performance management.
- **Cybersecurity**: Advisory (vCISO), Zero Trust implementation, SOC modernization, incident response, and compliance (GDPR, HIPAA, PCI). Security is embedded by default in every engagement.
- **AI Adoption & Implementation**: Vendor-agnostic enterprise AI readiness, deployment, and operations. Covers model selection, pipeline design, and production deployment.
- **DevOps & Platform Engineering**: DevOps maturity assessments, CI/CD, Kubernetes, Infrastructure as Code (IaC).
- **Data & Analytics**: Modern data platforms and analytics solutions.
- **Cloud Resale / CSP**: Cloud Solution Provider (CSP) and marketplace procurement with active licensing optimization and consolidated billing.

## Market Standing
- **Valuation**: Not publicly available (privately held, bootstrapped)
- **Key Metric**: 220+ technologists; 1,000+ enterprise clients served; over 30 years in business.
- **Notable Investors/Partners**: Bootstrapped (no outside investors). Key partners include Microsoft (Solutions Partner with 8 specializations, CSP), AWS (Advanced Tier Consulting Partner), Google Cloud (Partner), Dell (Titanium Partner), Intel.
- **Growth Signals**: Organic expansion from hardware reselling into full-stack cloud, AI, and security services. Retains most customers for many years, some for decades.

## Competitive Advantages
- **Security-first by default**: Security is embedded in every engagement, from hardware rack integration to cloud architecture to AI deployment.
- **End-to-end ownership**: Operates across the complete technology lifecycle (physical hardware, cloud, security, data, AI, DevOps). Clients work with one accountable partner, avoiding fragmented vendor coordination.
- **Vendor-agnostic**: Technology recommendations are based solely on what best solves the client's challenge, not on vendor incentives.
- **Production-ready delivery**: Designs, builds, deploys, and operates production systems — not just strategy documents. Remains accountable through go-live and beyond.
- **Bootstrapped stability**: 30 years of independent, debt-free growth, allowing a long-term, trust-based approach with clients rather than chasing growth at all costs.

## Strategic Focus
- **AI Adoption**: Helping enterprises move from AI experimentation to production deployment with a governance-first approach.
- **Modernization**: Helping clients migrate from legacy infrastructure (e.g., VMware) to modern cloud-native architectures.
- **Managed Services**: Expanding recurring managed cloud and security services to provide ongoing value beyond project-based work.
- **Multi-Cloud Governance**: Shifting cloud procurement from a transactional purchase to an expertise-backed operating model with active optimization.

## Why Work Here
- **Culture**: Emphasizes collaboration, inclusivity, and a shared commitment to growth. Described as a dynamic workplace where creativity thrives and ideas are valued.
- **Work-life balance**: Prioritized by leadership; the company believes a healthy life outside the office is essential.
- **Benefits**: Medical, dental, and vision insurance; generous 401(k) and regional retirement plans; student loan reimbursement; wellness stipend; maternity leave policies; plenty of paid time off.
- **Remote/Hybrid**: Currently hiring for US-based remote roles (Senior Security Engineer, Senior Azure Infrastructure Architect).
- **Engineering Culture**: Focus on emerging technologies (cloud adoption, DevOps, application modernization, multi-cloud operations). Technologists work on complex, high-impact projects for Fortune 500 clients.
- **Stability**: A bootstrapped, 30-year-old company with deep client relationships and a strong reputation, offering a stable environment for career growth.

## Sources
1. [redapt.com](https://www.redapt.com)
2. [redapt.com (About)](https://www.redapt.com/about)
3. [redapt.com (Careers)](https://www.redapt.com/careers)
4. [redapt.com (LLM Reference)](https://www.redapt.com/llms.txt)
5. [Greenhouse (Jobs)](http://job-boards.greenhouse.io/redapt)

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