Posted 6 months ago
Forward Deployed Engineer (Generative AI)
@ Tiger Analytics Inc.
Remote in Canada
Overview
Tiger Analytics is hiring a Forward Deployed Engineer for Generative AI to deploy and scale enterprise LLM solutions inside client cloud environments. The role involves architecting AI infrastructure, building retrieval pipelines, and travelling to client sites for on-site deployment sprints. The posting states a fast-growing, high-responsibility environment with career development.
Responsibilities:
- Deploy and optimize generative AI models in client cloud environments
- Architect scalable AI infrastructure with GPU orchestration
- Build data ingestion pipelines and vector database architectures for RAG
- Build multi-cloud deployments using infrastructure as code
- Advise clients on AI safety, prompt patterns and inference cost
Requirements summary:
- Hands-on experience with LLM orchestration and deep learning frameworks
- Production experience with vector databases
- Proficiency in model serving frameworks and LLMOps
- Advanced knowledge of cloud AI services and Kubernetes
- Mastery of Terraform or OpenTofu
- Strong Python coding skills, Go an asset
Tools & skills
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-05-17
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Travel | air: moderate · ground: moderate |
| Work setting | Client sites, Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Tiger Analytics Inc.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Full company description
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.
- LinkedIn followers
- 630,421
- People associated on LinkedIn
- 6,613
- Reported office locations
- 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
- Business categories
- News
- Consulting
- Analytics
- Advertising
- Big Data
- Machine Learning
- Other recorded names
- Tiger Analytics
- Tiger Analytics Inc.
- Specialties
- 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
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
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…
| Field | Value |
|---|---|
| Industry | Business Consulting and Services |
| Company size | 5,001-10,000 employees |
| Headquarters | Santa Clara, CA |
| Organization type | Privately Held |
| Year founded | 2011 |
| Specialties | Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops |
| Open jobs on Jobsy | 81 |
| View 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 multi-cloud environments (AWS, Azure, 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
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).
- Multi-Cloud Management: Build agnostic, resilient cloud deployments across AWS, Azure, and GCP using Infrastructure as Code (IaC).
- 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.
Technical Requirements-
- AI Frameworks: Hands-on experience with LLM orchestration tools (LangChain, LlamaIndex, AutoGen) and deep learning frameworks (PyTorch, Hugging Face).
- Vector Databases: Production experience setting up and querying vector stores (Milvus, Pinecone, Qdrant, Chroma, or pgvector).
- Model Operations (LLMOps): Proficiency in model serving frameworks (vLLM, TGI, Triton Inference Server) and evaluation tools.
- Cloud & Containers: Advanced knowledge of cloud AI primitives (AWS Bedrock/SageMaker, Azure OpenAI, GCP Vertex AI) and Kubernetes (K8s) for GPU workloads.
- IaC & Automation: Mastery of Terraform or OpenTofu to provision complex multi-cloud compute environments.
- Programming: Strong coding skills in Python (preferred) or Go, with an emphasis on writing clean, concurrent code.
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.
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