---
title: 'Forward Deployed Engineer, Agentic AI at Redapt'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-agentic-ai-redapt-united-states-1mtkpxtqgyqh'
type: 'job'
last_seen: '2026-09-12'
---

# Forward Deployed Engineer, Agentic AI at Redapt

- **Company:** Redapt
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/redapt/jobs/5396488008

## Job description

Forward Deployed Engineer, Agentic AI

## About the Role

Redapt is building dedicated capacity to design, deploy, and optimize agentic AI solutions for clients. We are looking for a Forward Deployed Engineer: a technical, client-facing builder who can turn AI capabilities into working production systems inside customer environments.

This role blends an embedded, hands-on delivery model with the broader technical advisory work Redapt clients need to get real ROI from AI investments. You will write production Python code, sit in front of clients to explain technical tradeoffs in plain language, and help both customers and internal Redapt teams get more value out of their existing AI workloads. This role is intentionally broader than a typical FDE position, combining embedded delivery with elements of technical advisory work, such as token and model optimization, AI security, and workload ROI, that support long-term client success.

## What You'll Do

Embedded Delivery & Engineering

- Embed directly with client teams to design, build, and ship production applications and integrations built on Claude models.
- Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that perform accurately in high-stakes environments
- Write and maintain production-quality Python code for AI integrations, agent workflows, and internal tooling.
- Set up and configure agentic harnesses (including Azure Foundry, AWS Bedrock, Claude Cowork-style deployments) so client teams can put AI to work on real business processes
- Instrument and monitor agentic systems in production using observability tooling; iterate rapidly based on real user behavior and feedback

Client Advisory & Stakeholder Engagement

- Present findings, architecture options, and recommendations directly to client stakeholders, translating technical concepts for both technical and non-technical audiences
- Build durable, trusted relationships with client technical and business stakeholders over the life of an engagement.
- Partner with product managers and customer success to deeply understand user problems and translate them into elegant, production-grade AI solutions
- Work with internal teams to assess existing AI workloads and identify opportunities to improve ROI, whether through better architecture, tooling, or workflow redesign.

Model Optimization & AI Security

- Advise clients and internal Redapt teams on token optimization and model selection to control cost and improve performance.
- Evaluate and tune model configuration and prompting strategy to improve output quality and reliability for a given workload.
- Identify AI security considerations (data handling, access control, prompt injection, model governance) and build these into deployment recommendations
- Collaborate cross-functionally with engineers, data teams, and compliance stakeholders to ensure AI outputs meet accuracy and regulatory standards

Required Qualifications

- 3+ years in a technical, client-facing role such as forward deployed engineering, solutions engineering, or consulting with a software engineering background
- At least 1 year building and shipping AI/LLM-powered applications in production
- Strong coding skills in Python and TypeScript; comfort working across the stack as needed
- Strong understanding of agentic patterns: tool use, RAG, memory management, multi-agent orchestration, and human-in-the-loop design
- Demonstrated ability to communicate clearly and credibly with clients, including in live, in-person settings
- Working knowledge of Azure Foundry, AWS Bedrock, OpenAI/Codex and the Anthropic/Claude platform (Claude API, tool use, Claude Code, or similar)
- Comfort operating with ambiguity and owning a technical engagement end-to-end.

## Preferred Qualifications

- Experience with evaluation frameworks, RAG pipelines, or agent orchestration frameworks (e.g., LangGraph, LangChain, CrewAI).
- Familiarity with AI security, privacy, and governance considerations in enterprise environments.
- Experience with MLOps/LLMOps practices, including model monitoring and prompt management.
- Prior experience specifically with Azure Foundry, AWS Bedrock, or Anthropic's Claude platform (Claude for Enterprise, Claude Code, MCP).
- Background in enterprise IT systems or AI deployment patterns.

What Makes You Successful

- You can translate deep technical work into plain language that lands with engineers and executives alike.
- You thrive working embedded inside client environments and take ownership of outcomes, not just recommendations.
- You are comfortable operating across the full arc of an engagement, from writing production code to advising on cost, security, and architecture.
- You enjoy turning one-off engagement learnings into repeatable patterns so the next client moves faster.

Technologies & Methodologies

- Python
- OpenAI / Codex
- Anthropic / Claude API
- Agentic AI & Agent Development
- Azure AI Foundry
- AWS Bedrock
- AI Security & Governance
- RAG Pipelines (Preferred)
- LangGraph / LangChain / CrewAI (Preferred)
- MLOps / LLMOps (Preferred)
- MCP (Model Context Protocol) (Preferred)

Travel required:

- Travel typically 20% 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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