Publié il y a 2 mois
Forward Deployed Engineer (Generative AI)
@ Tiger Analytics Inc.
Télétravail au Canada
En bref
Tiger Analytics is hiring a Forward Deployed Engineer (Generative AI) to deploy and scale enterprise Generative AI solutions on-site within client engineering teams. The role centres on operationalizing LLMs and retrieval systems on Google Cloud Platform, with strong Vertex AI, vector database and Kubernetes skills required. It is a full-time position that includes travel to client sites.
Responsabilités :
- Deploy and optimize Gen AI models within customer cloud environments
- Architect scalable AI infrastructure with GPU/TPU orchestration
- Design data ingestion pipelines and vector database architectures for RAG
- Advise enterprise clients on AI safety and inference cost optimization
Résumé des exigences :
- Advanced knowledge of GCP and Vertex AI primitives
- Hands-on experience with LLM orchestration and deep learning frameworks
- Production experience with vector databases
- Deep expertise in GKE and Kubernetes workloads
- Mastery of Terraform for GCP environments
- Strong Python or Go coding skills
Outils et compétences
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-08-25
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : modérés · route : modérés |
| Milieu de travail | Chez les clients, Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Tiger Analytics Inc.
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Description complète de l’entreprise
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
- Abonnés LinkedIn
- 630 421
- Personnes associées sur LinkedIn
- 6 613
- Bureaux déclarés
- 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US
- 111 Town Square Pl, Jersey City, New Jersey 07310, US
- 36 Robinson Rd, Singapore, Singapore 068877, SG
- 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US
- 5151 Headquarters Dr, Plano, Texas 75024, US
- 65 St Paul’s Churchyard, 3rd Floor Paternoster House, London, EC4M 8AB, GB
- 383 Kent St, Level 17, Sydney, New South Wales 2000, AU
- 200 Bay St, North Tower, Suite 1200, PO Box 96, Toronto, Ontario M5J 2J2, CA
- RMZ Millenia Business Park 2, Campus 5, 2nd Floor, No. 143, Kandanchavadi, MGR Road, Perungudi, Chennai, Tamil Nadu 600096, IN
- Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, 560103, IN
- 8th Floor, B block (iSprout), Divyasree Trinity, Hitech City Rd, Madhapur,, Hyderabad, Telangana 500081, IN
- De Entree 252, Amsterdam, North Holland 1101 EE, NL
- Catégories d’activité
- News
- Consulting
- Analytics
- Advertising
- Big Data
- Machine Learning
- Autres noms enregistrés
- Tiger Analytics
- Tiger Analytics Inc.
- Spécialités
- Machine Learning
- Predictive Analytics
- Forecasting
- Natural Language Processing
- Computer Vision
- Cloud Data Platform Engineering
- Data-as-a-service
- Lean Data Governance
- Modern BI & Data Warehousing
- AI/ML Ops
- ML Product Engineering
- Data Engineering
- Data Modernization
- and Generative AI
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge…
| Champ | Valeur |
|---|---|
| Secteur | Business Consulting and Services |
| Taille | 5,001-10,000 employees |
| Siège social | Santa Clara, CA |
| Type d’organisation | Privately Held |
| Fondée en | 2011 |
| Spécialités | Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops |
| Offres sur Jobsy | 81 |
| Voir la page |
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.
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.
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.
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