> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Agent Deployment Engineer Canonical URL: https://nextmove.md/fde/jobs/3254a9d27b739979 Decagon posts a FDE role to build what the customer runs in San Francisco, CA, at $175,000–$230,000 base, above the senior FDE median of $190,000 across 1,849 postings with pay. Own end-to-end technical delivery of enterprise AI agent deployments, from architecture and integrations through evaluation and production launch. Read from the employer’s posting on November 6, 2026. - [Decagon](https://nextmove.md/fde/companies/decagon) Posted Jan 20, 2026 by Decagon · open on Ashby as of Nov 6, 2026 **$175,000–$230,000** + equity San Francisco, CA On-site Full-time Own end-to-end technical delivery of enterprise AI agent deployments, from architecture and integrations through evaluation and production launch. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F3254a9d27b739979&placement=top) - [View posting at Decagon](https://jobs.ashbyhq.com/decagon/8c40fb7a-5f25-4112-a1df-f1c22b81042c/application) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $175K–$230K Above the median Midpoint $203K · median $190K This job $175K to $230K. Senior FDE postings, 1,849 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **5+ years** technical customer-facing role Background - **Solutions and customer engineering** ### Do you meet what the posting states? The posting asks for 5+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in San Francisco, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: San Francisco, CA - **Work arrangement**: On-site - **Employment type**: Full-time - **Pay**: ## More like this [Decagon](https://nextmove.md/fde/companies/decagon) ### [Agent Deployment Engineer](https://nextmove.md/fde/jobs/f2e3f4229557ee1e) New York, NY On-site 5mo ago $175,000–$230,000 [Distyl AI](https://nextmove.md/fde/companies/distyl-ai) ### [AI Engineer](https://nextmove.md/fde/jobs/2625d8a6aa23c2b2) San Francisco, CA · New York, NY Hybrid 4mo ago $180,000–$250,000 [Paradigm](https://nextmove.md/fde/companies/paradigm) ### [Deployed Engineer](https://nextmove.md/fde/jobs/d3cfd9fa982cc067) San Francisco, CA On-site 2mo ago $180,000–$280,000 - [Other jobs at Decagon (11)](https://nextmove.md/fde/companies/decagon) ## The job description from Decagon Posted by Decagon on Jan 20, 2026 ### About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. ### About the Team Over the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require hands-on execution, rigorous iteration, and deep technical delivery to reach enterprise-grade performance. We’re creating an **Agent Deployment Engineering Org**: a specialized technical delivery team responsible for end-to-end execution of AI agent builds. Agent Deployment Engineers own the hands-on work required to deliver best-in-class agents—writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Deployment Engineers are technical and customer-facing: you’ll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build execution. ### About the Role As an **Agent Deployment Engineer,** you will be responsible for end-to-end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the implementation work required to launch and scale enterprise-quality agents—partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business. You’ll work closely with Agent PMs, Agent Success, Engineering, and GTM teams to create tight feedback loops: executing builds, surfacing gaps, and influencing the evolution of Decagon’s agent-building platform based on real customer needs. This role is ideal for someone who thrives in fast-moving environments, enjoys shipping customer-facing technical work, and can balance hands-on execution with structured thinking. ### In this role, you will - Own end-to-end architecture and execution of AI agent builds for enterprise customers, from systems design and initial scoping through implementation, evaluation, and production deployment. - Design and engineer the core agentic logic governing agent behavior, applying engineering principles to optimize quality, reliability, and correctness across non-deterministic model outputs. - Engineer and validate layered guardrails and supervisory controls to ensure safe, compliant, and predictable agent performance across real-world scenarios. - Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including building the tools, APIs, and workflows needed for reliable deployments at scale. - Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines. - Diagnose, debug, and resolve both probabilistic and technical failures through root-cause analysis of execution traces, error logs, and model behavior. - Design evaluation and regression-testing frameworks to validate agent behavior against ground truth and guard against performance drift. - Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements. - Partner closely with APMs, Engineering, Design, and Go-To-Market teams to deliver consistent, repeatable, best-in-class agent builds. ### Your background looks something like this - Have 5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar). - Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end.Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration. - Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery. - Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them. ### Even better if you have - Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.). - Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations. - A Computer Science, Engineering, or Math degree, or equivalent technical experience. - Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap. ### Compensation $175K – $230K • Offers Equity ### Benefits We proudly offer the following benefits for our full-time employees: - Medical, Dental, and Vision benefits for you and your family - Life Insurance and Disability Benefits - Retirement Plan (e.g., 401K, pension) - Parental Leave - Fertility and family building benefits through Carrot - Monthly stipend to support your wellness, lifestyle, and work-life balance - Daily lunches and snacks in the office to keep you at your best - Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) *These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.* [View posting at Decagon](https://jobs.ashbyhq.com/decagon/8c40fb7a-5f25-4112-a1df-f1c22b81042c/application) ## About Decagon Omnichannel AI concierge platform for enterprises, unifying voice, chat, and email agents with shared memory and workflow execution. Series D · 500–1000 people ## Similar jobs [jeffreym-consulting](https://nextmove.md/fde/companies/jeffreym-consulting) ### [Senior Forward Deployed Engineer](https://nextmove.md/fde/jobs/160095c9c45ee8af) San Francisco, CA On-site New · 2d ago $180,000–$250,000 [Sim](https://nextmove.md/fde/companies/sim) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/f40e24220cfe7740) San Francisco, CA On-site 6w ago $190,000–$250,000 [Levelpath](https://nextmove.md/fde/companies/levelpath) ### [Integrations Engineer (San Francisco)](https://nextmove.md/fde/jobs/dec4152c2efa9afc) San Francisco, CA On-site 3mo ago $165,000–$240,000 [Salesforce](https://nextmove.md/fde/companies/salesforce) ### [Forward Deployed Engineer (FDE) — Agentforce Orchestration](https://nextmove.md/fde/jobs/aa41a1949bc5bc55) Atlanta, GA · Chicago, IL · +9 more 2mo ago $88,970–$316,750 [Cogent Security, Inc.](https://nextmove.md/fde/companies/cogent-security-inc) ### [Forward Deployed Agent Engineer](https://nextmove.md/fde/jobs/8b2ffedbcbde8090) San Francisco, CA Hybrid 7w ago $100,000–$300,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in SF Bay Area](https://nextmove.md/fde/jobs?region=sf-bay-area) - [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers) Hiring at Decagon and want this page changed or removed? 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