> 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 (Generative AI) Canonical URL: https://nextmove.md/fde/jobs/ab72478f0e6ca02e Tiger Analytics posts a FDE role to build what the customer runs in US with no pay posted. Deploys and scales enterprise Generative AI solutions directly within customer engineering teams, bridging LLM research and production cloud infrastructure on GCP. Read from the employer’s posting on November 8, 2026. - [Tiger Analytics](https://nextmove.md/fde/companies/tiger-analytics) First seen Oct 24, 2026 · open on Workable as of Nov 8, 2026 Pay not posted US Remote Full-time Deploys and scales enterprise Generative AI solutions directly within customer engineering teams, bridging LLM research and production cloud infrastructure on GCP. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fab72478f0e6ca02e&placement=top) - [View posting at Tiger Analytics](https://apply.workable.com/j/749AF87FA3/apply) 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 Not posted 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 (not covered) 3. Implementation 4. Operations (not covered) Travel **Required, amount not stated** - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Technical lead ### 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**: US - **Work arrangement**: Remote - **Employment type**: Full-time - **Travel**: Travel required, amount not stated ## More like this [Tiger Analytics](https://nextmove.md/fde/companies/tiger-analytics) ### [Forward Deployed Engineer (Generative AI)](https://nextmove.md/fde/jobs/550688101961dde8) Austin, TX Remote 2w ago Pay not posted [Tiger Analytics](https://nextmove.md/fde/companies/tiger-analytics) ### [Forward Deployed Engineer (Generative AI)](https://nextmove.md/fde/jobs/42a85d57f1ca8e62) US Remote 2w ago Pay not posted [Databricks](https://nextmove.md/fde/companies/databricks) ### [AI Engineer – Forward Deployed Engineering (AI FDE), U.S. Public Sector (Federal Focus)](https://nextmove.md/fde/jobs/9f2d056549050321) Washington, DC Remote 2mo ago $182,000–$250,208 - [Other jobs at Tiger Analytics (5)](https://nextmove.md/fde/companies/tiger-analytics) ## The job description from Tiger Analytics ### Description Tiger Analytics is looking for experienced **Forward Deployed Engineer (Generative AI) **with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. Role Overview The **Forward Deployed Engineer (FDE)** drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across **Google Cloud Platform(GCP).**. You will bridge the gap between AI research and production-grade cloud infrastructure. You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. ### Requirements ### Technical Requirements - **GCP & Vertex AI Architecture:** Advanced knowledge of **Vertex AI primitives**, including **Vertex AI Studio**, **Model Registry**, **Endpoint deployment**, **Vertex AI Pipelines (Kubeflow)**, and **Vertex AI Vector Search**. - **AI Frameworks:** Hands-on experience with **LLM orchestration tools** (LangChain, LlamaIndex, AutoGen) and **deep learning frameworks** (PyTorch, Hugging Face) optimized for GCP infrastructure. - **Vector Databases:** Production experience setting up, optimizing, and querying **Vertex AI Vector Search**, or managed vector stores like **Milvus**, **Pinecone**, and **pgvector (Cloud SQL/Spanner)**. - **Model Operations (LLMOps):** Proficiency in model serving frameworks (**vLLM**, **TGI**, **Triton Inference Server**) deployed via Vertex AI or GKE, alongside robust automated model evaluation pipelines. - **Containers & Kubernetes:** Deep expertise in **Google Kubernetes Engine (GKE)** for managing **GPU/TPU workloads**, autoscaling, and scheduling. - **IaC & Automation:** Mastery of **Terraform** to provision secure, complex GCP environments, IAM roles, and Vertex AI resources. - **Programming:** Strong coding skills in **Python** (preferred) or **Go**, with an emphasis on writing clean, concurrent code and utilizing the **Google Cloud SDK**. ### Key Responsibilities- - **AI Solution Deployment**: Deploy, fine-tune, and optimize large-scale Gen AI models and LLM orchestration frameworks within customer cloud environments. - **Infrastructure Engineering**: Architect scalable infrastructure for AI workloads utilizing GPU/TPU orchestration, high-performance storage, and low-latency networking. - **Data & Retrieval Pipelines**: Design and implement high-throughput data ingestion pipelines and Vector Database architectures for Retrieval-Augmented Generation (RAG). - **Technical Advocacy**: Act as the primary technical consultant, guiding enterprise clients through AI safety, prompt engineering patterns, and inference cost optimization. - **Product Collaboration**: Feed edge-case deployment insights back to core AI research and platform engineering teams to improve product robustness. ### Soft Skills- - **AI Consultation**: Ability to manage customer expectations around LLM non-determinism, hallucinations, and performance trade-offs. - **Rapid Adaptability**: Passion for keeping pace with the weekly advancements in the Generative AI landscape. - **Critical Debugging**: Exceptional skill in isolating errors across complex software layers, from GPU drivers up to prompt engineering logic. - **Mobility**: Willingness to travel to client sites to lead high-stakes, on-site deployment sprints. ### Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. * **Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.*** [View posting at Tiger Analytics](https://apply.workable.com/j/749AF87FA3/apply) ## About Tiger Analytics Global AI and advanced analytics consulting firm delivering data strategy, data engineering, AI/ML, application engineering, business intelligence, and MLOps services. 5000+ people ## Similar jobs [TonicAI](https://nextmove.md/fde/companies/tonicai) ### [Forward Deployed Engineer, Data De-Identification](https://nextmove.md/fde/jobs/ec2795237b093ee9) US Remote 3w ago $120,000–$180,000 [Teleport](https://nextmove.md/fde/companies/teleport) ### [Site Reliability Engineer (Forward Deployed)](https://nextmove.md/fde/jobs/9efbe1072d8ade58) US Remote 3mo ago $189,000–$326,000 [OneSix](https://nextmove.md/fde/companies/onesix) ### [Senior Data Scientist ](https://nextmove.md/fde/jobs/2852f0b07e3442bd) US or Canada Remote 4mo ago $140,000–$180,000 [Climb](https://nextmove.md/fde/companies/climb) ### [Forward Deployed Architect](https://nextmove.md/fde/jobs/30313e48c76129f7) US Remote 4mo ago Pay not posted [Very Big Things](https://nextmove.md/fde/companies/very-big-things) ### [Lead AI Engineer](https://nextmove.md/fde/jobs/6a56845282e5c78a) US Remote 2w ago Pay not posted - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers) Hiring at Tiger Analytics and want this page changed or removed? 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