> 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. # Senior AI Engineer, Enterprise Canonical URL: https://nextmove.md/fde/jobs/0d220a193506cf5d Snowflake posts a senior FDE role to build for teams inside the company in Menlo Park, CA, at $156,000–$224,200 base, level with the senior FDE median of $190,000 across 1,868 postings with pay. Senior AI Engineer on the GTM AI Engineering team building the internal AI platform and agentic applications for Snowflake's Go-To-Market organization. Read from the employer’s posting on November 9, 2026. - [Snowflake](https://nextmove.md/fde/companies/snowflake) First seen Jul 14, 2026 · open on Ashby as of Nov 9, 2026 **$156,000–$224,200** Menlo Park, CA Full-time Senior AI Engineer on the GTM AI Engineering team building the internal AI platform and agentic applications for Snowflake's Go-To-Market organization. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F0d220a193506cf5d&placement=top) - [View posting at Snowflake](https://jobs.ashbyhq.com/snowflake/c055c3da-4924-4e63-bcd2-bef2b2710db8/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 $156K–$224K Level with the median Midpoint $190K · median $190K This job $156K to $224K. Senior FDE postings, 1,868 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds for teams inside the company 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**: Internal teams - **Level**: Senior - **Role**: Technical lead ### What they ask for Experience - **5+ years** professional software engineering experience with a Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical field Background - **Software 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 Menlo Park, 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**: Menlo Park, CA - **Employment type**: Full-time - **Pay**: ## More like this [AssemblyAI](https://nextmove.md/fde/companies/assemblyai) ### [Senior GTM AI Engineer](https://nextmove.md/fde/jobs/f11b9f241b74e158) San Francisco, CA 2mo ago $160,000–$220,000 [Atoms](https://nextmove.md/fde/companies/atoms) ### [Senior Software Engineer – Bionic Enterprise Platform](https://nextmove.md/fde/jobs/3d16f7029b02f9ac) Mountain View, CA · San Francisco, CA On-site 2w ago $176,000–$242,000 [Google](https://nextmove.md/fde/companies/google) ### [AI Tooling Technical Solutions Consultant, GSRS Security Systems and Technology](https://nextmove.md/fde/jobs/b06d4e026bdf987b) Sunnyvale, CA · Austin, TX · +5 more 2w ago $152,000–$221,000 - [Other jobs at Snowflake (7)](https://nextmove.md/fde/companies/snowflake) ## The job description from Snowflake At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ### ABOUT THE TEAM The GTM AI Engineering team is part of Snowflake's Data Analytics & AI organization and builds the internal AI platform and intelligent applications that power Snowflake's Go-To-Market organization. We develop production-grade AI systems used daily by thousands of employees across Sales, Solution Engineering and Marketing. As a Senior AI Engineer, you will build the backend services, platform infrastructure, and AI capabilities that power next-generation agentic applications. You will work at the intersection of distributed systems, backend engineering, applied AI, and internal product development, designing scalable, reliable, and secure systems that enable intelligent experiences with direct business impact. This role offers the opportunity to shape a rapidly growing internal AI platform, establish engineering best practices, and build AI products that directly accelerate Snowflake's growth. ### IN THIS ROLE, YOU WILL: - Design and build scalable backend services and distributed systems that power production AI and agentic applications. - Develop APIs, orchestration services, and platform capabilities for internal AI products. - Build reusable AI platform components, including agent frameworks, evaluation pipelines, developer SDKs, templates, and shared Python libraries. - Evolve our engineering platform through modern CI/CD pipelines, automated testing, deployment tooling, and developer experience improvements. - Optimize AI infrastructure and backend services for performance, scalability, reliability, security, and cost efficiency. - Leverage Snowflake Cortex, Snowpark, and the broader Snowflake AI ecosystem to build intelligent data applications. - Establish engineering best practices around testing, observability, monitoring, evaluation, and production readiness for AI systems. - Collaborate closely with product managers, data engineers, designers, and GTM stakeholders to deliver high-impact AI solutions. - Stay current with advances in AI engineering and help drive adoption of modern technologies, frameworks, and development practices across the team. ### WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: ### Required Qualifications - 5+ years of professional software engineering experience with a Bachelor's degree (or higher) in Computer Science, Software Engineering, or a related technical field. - Strong proficiency in Python (3.11+) with experience writing production-quality, well-tested, maintainable code using modern Python practices. - Experience building RESTful APIs and backend services using FastAPI or similar frameworks. - Experience designing and operating distributed systems and microservice architectures. - Strong understanding of software engineering best practices, including testing, CI/CD, code quality, observability, and production operations. - Experience with containerization technologies such as Docker. - Hands-on experience building production AI applications using large language models. - Experience with prompt engineering, tool calling, structured outputs, and LLM orchestration frameworks. - Strong problem-solving skills, excellent communication, and the ability to work effectively in a fast-paced, collaborative environment. ### Preferred Qualifications - Experience with the Snowflake platform, including Snowpark, Cortex AI, Snowpark Container Services, Snowflake Connector, and Snowflake CLI. - Experience building agentic applications using frameworks such as LangGraph or similar multi-agent orchestration frameworks. - Experience with AI evaluation, monitoring, guardrails, and observability frameworks. - Familiarity with model serving, inference optimization, and AI infrastructure. - Experience working with large-scale data platforms, ETL pipelines, and modern data engineering workflows. - Experience building full-stack AI applications using Streamlit, React, or similar frameworks. - Experience with Python data libraries such as pandas and NumPy. - Familiarity with modern AI development tools such as Cursor, Claude Code, Cortex Code, or similar AI-assisted development environments. - Experience working with cloud-native infrastructure and Kubernetes is a plus. ### WHY JOIN OUR TEAM? Joining the GTM AI Engineering team means building AI products that have a direct and measurable impact on Snowflake's business. You'll help define the architecture of our internal AI platform while developing intelligent applications used every day by thousands of employees across our global Go-To-Market organization. This is a unique opportunity to combine backend engineering, distributed systems, and applied AI to solve real business problems at scale. You'll work alongside world-class engineers and product leaders while helping shape how AI transforms the way Snowflake operates internally. If you're passionate about building production-grade AI systems, enjoy solving complex engineering challenges, and want to help define the future of enterprise AI, we'd love to hear from you. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com [View posting at Snowflake](https://jobs.ashbyhq.com/snowflake/c055c3da-4924-4e63-bcd2-bef2b2710db8/application) ## About Snowflake Cloud-native data platform letting enterprises run analytics, AI/ML, and apps on governed data across AWS, Azure, and GCP without moving it. Public · 5000+ people ## Similar jobs [Amazon (incl AWS)](https://nextmove.md/fde/companies/amazon-incl-aws) ### [Senior Security Engineer, Forward Deployed Engineering, AWS Forward Deployed Engineering](https://nextmove.md/fde/jobs/4a812728913c7b00) Mountain View, CA · Boston, MA · +4 more 7w ago $175,100–$247,600 [Rubrik](https://nextmove.md/fde/companies/rubrik) ### [Senior AI Engineer, Agentic Systems](https://nextmove.md/fde/jobs/75ba2b037647994d) Palo Alto, CA 4w ago $188,500–$282,700 [Applied Compute](https://nextmove.md/fde/companies/applied-compute) ### [GTM AI Engineering](https://nextmove.md/fde/jobs/4aed0be0305443e1) San Francisco, CA On-site 2w ago $160,000–$240,000 [NVIDIA](https://nextmove.md/fde/companies/nvidia) ### [Applied AI Engineer - VLSI Design](https://nextmove.md/fde/jobs/89d1e7f01575e622) Santa Clara, CA Hybrid 5mo ago $136,000–$264,500 [Arcadia Science](https://nextmove.md/fde/companies/arcadia-science) ### [Software Engineer - Full Stack](https://nextmove.md/fde/jobs/3d2b1c651a50a087) Emeryville, CA On-site 3mo ago $160,000–$195,000 - [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 for teams inside the company](https://nextmove.md/fde/jobs?role=internal-deployment) Hiring at Snowflake and want this page changed or removed? 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