> 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. # Forward Deployed Engineer, Agentic Platform Canonical URL: https://nextmove.md/fde/jobs/718afc10364c8e3c Cohere posts a FDE role to build what the customer runs, remote, hiring in California, at CA$175,000–CA$385,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Own customer-facing delivery of production-grade agentic workflows and features for North, taking enterprise use cases from ambiguous business problems through deployment. Read from the employer’s posting on November 8, 2026. - [Cohere](https://nextmove.md/fde/companies/cohere) First seen Apr 22, 2026 · open on Ashby as of Nov 8, 2026 **CA$175,000–CA$385,000** + equity Remote, hiring in California Full-time Own customer-facing delivery of production-grade agentic workflows and features for North, taking enterprise use cases from ambiguous business problems through deployment. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F718afc10364c8e3c&placement=top) - [View posting at Cohere](https://jobs.ashbyhq.com/cohere/b0bcef37-1d20-414f-aade-c54942d63df9/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 $120K–$325K Above the median Midpoint $223K · median $190K This job $120K to $325K. Senior FDE postings, 1,864 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 3. Implementation 4. Operations (not covered) Travel **Up to 40%** - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### Do you meet what the posting states? The posting reads as a senior role. What level are you at now? The work is remote from the US. Can you work from the US? 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**: Remote - **Employment type**: Full-time - **Travel**: Up to 40% - **Pay**: ## More like this [Gray Swan](https://nextmove.md/fde/companies/gray-swan) ### [Senior Forward Deployed Engineer – Enterprise](https://nextmove.md/fde/jobs/2f8298f975b489cb) San Francisco, CA Remote 2mo ago $175,000–$220,000 [Databricks](https://nextmove.md/fde/companies/databricks) ### [Sr. Forward Deployed Engineer (FDE) - Digital Native Business ](https://nextmove.md/fde/jobs/1bde83f7bd0b6460) San Francisco, CA Remote 7w ago $182,000–$250,208 [Google](https://nextmove.md/fde/companies/google) ### [Forward Deployed Engineer III, Generative AI, Google Cloud](https://nextmove.md/fde/jobs/e6ee1ac89337dd30) New York, NY · Austin, TX · +7 more 2mo ago $174,000–$252,000 - [Other jobs at Cohere (1)](https://nextmove.md/fde/companies/cohere) ## The job description from Cohere ### Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ### About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. ### Why this role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. *Note: between 20 - 40% travel anticipated.* ### In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualization through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners ### You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting ### It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems ### Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits:Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. ### How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. *Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our * *official careers* * page.* [View posting at Cohere](https://jobs.ashbyhq.com/cohere/b0bcef37-1d20-414f-aade-c54942d63df9/application) ## About Cohere Frontier LLM provider building Command models and the North AI workspace for enterprises and governments that need private, on-prem, or sovereign deployments. Series E · 500–1000 people ## Similar jobs [NVIDIA](https://nextmove.md/fde/companies/nvidia) ### [Senior Solutions Architect, Agentic AI](https://nextmove.md/fde/jobs/bbc4e0e7b7f53b69) Santa Clara, CA · US remote Remote 3mo ago $184,000–$287,500 [Harness](https://nextmove.md/fde/companies/harness) ### [Forward Deployed Engineer (Implementation Engineering)](https://nextmove.md/fde/jobs/8bbe8200b00b1ea6) Chicago, IL · New York, NY · +1 more Remote 6w ago $170,000–$200,000 [Smallstep](https://nextmove.md/fde/companies/smallstep) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/aedbb63ccf765de4) San Francisco, CA Remote 3mo ago $185,000–$230,000 [Prime Intellect](https://nextmove.md/fde/companies/prime-intellect) ### [Applied Researcher - Forward-Deployed RL](https://nextmove.md/fde/jobs/0ed15e783d00992e) San Francisco, CA · New York, NY Remote 2w ago $150,000–$300,000 [6sense](https://nextmove.md/fde/companies/6sense) ### [Sr. ML Ops Engineer, Forward-Deployed ](https://nextmove.md/fde/jobs/06ba4bd7675e00f2) San Francisco, CA Remote 12d ago $191,475–$260,830 - [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 Cohere and want this page changed or removed? Email info@nextmove.md and we take it down. Employer postings · [How we read postings](https://nextmove.md/fde/method)