---
title: 'Senior AI Implementation Engineer at Redapt'
canonical: 'https://feeny.ai/job/senior-ai-implementation-engineer-redapt-las-vegas-nevada-sp5ev9zz3cnh'
type: 'job'
last_seen: '2026-09-12'
---

# Senior AI Implementation Engineer at Redapt

- **Company:** Redapt
- **Location:** Las Vegas Nevada, United States
- **Work type:** remote
- **Posted:** 2026-07-30
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/redapt/jobs/5375960008

## Job description

Senior AI Implementation Engineer

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 AI Implementation Engineer to join our Cloud Solutions team, with a focus on building and deploying generative AI solutions on AWS using Amazon Bedrock. This individual will translate customer needs into secure, reliable applications that deliver measurable business value.

Our engineers own delivery from discovery and prototyping through production deployment and support. They combine hands-on software engineering, enterprise data integration, and practical AI implementation to build document processing, knowledge retrieval, and workflow automation solutions for our clients.

## Responsibilities

- Design, develop, test, and deploy AI applications using Amazon Bedrock foundation models and AWS services.
- Build retrieval-augmented generation (RAG) solutions using Amazon Bedrock Knowledge Bases or custom retrieval pipelines, including ingestion, chunking, embeddings, vector search, and source citations.
- Implement AI agents and tool integrations that connect models to enterprise APIs and workflows, with explicit permissions, validation, 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.
- Automate infrastructure and application delivery using infrastructure as code, Git, CI/CD, versioned prompts and configurations, and repeatable deployments.
- Monitor and troubleshoot production AI workloads; optimize model selection, token usage, latency, reliability, and cost, with retry and fallback strategies.
- Translate customer requirements into solution designs and implementation plans; deliver demonstrations, document decisions, and support operational handoff.

## Skills you bring with you

- Strong Python and software engineering skills, including API development, automated testing, debugging, code review, and maintainable application design.
- Hands-on experience implementing applications with Amazon Bedrock, including model invocation, prompt design, inference settings, and integration through AWS SDKs.
- 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.
- Experience with supporting AWS services such as Lambda, S3, API Gateway, Step Functions, SQS, and CloudWatch, plus SQL and data integration fundamentals.
- Understanding of AI evaluation, hallucination risks, security, and data privacy; hands-on experience with IAM and infrastructure as code using Terraform, AWS CDK, or CloudFormation.

## Qualifications

- BS or MS in Computer Science, Information Systems, Engineering, or a related field preferred; equivalent experience considered.
- 5+ years of experience in software engineering, cloud application development, data engineering, or related roles, with hands-on responsibility for production systems.
- Demonstrated experience delivering generative AI applications from prototype to production, including hands-on implementation using Amazon Bedrock and AWS.

Additional experience we value

- Amazon Bedrock Agents and production agent orchestration, including tool integration, state management, observability, and controlled access to enterprise systems.
- Intelligent document processing using Amazon Bedrock Data Automation, Amazon Textract, or model-based extraction, with normalization, validation, and source traceability.
- Vector search and retrieval implementations using Amazon OpenSearch or PostgreSQL with pgvector, including metadata filtering and retrieval tuning.
- AI delivery practices such as evaluation pipelines, prompt and model versioning, regression testing, staged releases, rollback, and production quality monitoring.
- Effective use of AI coding assistants, with independent validation of generated code, automated tests, and adherence to customer security and development standards.
- Consulting and technical leadership skills, including customer discovery, engineering mentorship, and clear communication of quality, security, performance, and cost tradeoffs.

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.

## #LI-TS1

## 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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- [Cyber Solutions Architect](https://feeny.ai/job/cyber-solutions-architect-redapt-las-vegas-nevada-kfhd58j77yey) — Las Vegas Nevada, United States
- [vCTO](https://feeny.ai/job/vcto-redapt-las-vegas-nevada-t684v9ydgzz8) — Las Vegas Nevada, United States
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