Posted 9 hours ago
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
@ Tiger Analytics Inc.
Remote in Canada
Overview
Tiger Analytics is hiring a full-time Forward Deployed Engineer with GenAI experience to embed with enterprise clients and build production GenAI and agentic AI solutions. The role covers rapid prototyping, Databricks lakehouse architecture and data engineering, and client-facing technical leadership. Experience of 5+ years in data engineering or applied AI/ML is required.
Responsibilities:
- Design and deploy production solutions on Databricks within accelerated timelines
- Architect Delta Lake and Spark data pipelines and lead cloud and BI migrations
- Build GenAI, RAG and natural-language analytics solutions
- Lead architecture workshops and translate business needs into technical roadmaps
Requirements summary:
- 5+ years of data engineering or applied AI/ML experience
- Strong Python and SQL with deep Apache Spark expertise
- Lakehouse architecture experience with Delta Lake and Unity Catalog
- Practical GenAI deployment experience on Databricks or similar
- Strong client-facing communication skills
Tools & skills
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-11-13
- First seen by our source
- 2026-11-13
- Source record updated
- 2026-11-13
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| 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 | 83 |
| View page |
Tiger Analytics is looking for experienced Forward Deployed Engineer 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:
We're looking for a Forward Deployed Engineer who thrives at the intersection of client problem-solving and hands-on AI engineering. You'll partner directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and Agentic AI solutions — owning the journey from first conversation to live deployment.
Role :
We are seeking an experienced, client-facing Forward Deployed Engineer (FDE) with deep expertise in the Databricks Data Intelligence Platform to partner closely with enterprise clients and Databricks account teams. In this role, you will embed directly into customer environments to architect, build, and deploy high-impact data engineering, analytics, and AI/GenAI solutions—turning complex, ambiguous business problems into production-ready outcomes at speed
Responsibilities:
- Rapid Solution Prototyping & Delivery: Embed with client engineering and business stakeholders to design, build, and deploy end-to-end production solutions on Databricks within accelerated timelines.
- Lakehouse Architecture & Data Engineering: Architect scalable data pipelines using Delta Lake, Unity Catalog, and Apache Spark, handling complex cloud migrations, legacy BI modernization, and performance/cost optimization.
- AI, GenAI & Intelligent Analytics: Build and deploy enterprise AI/ML workflows, knowledge layers/ontologies, and natural-language analytics solutions using Databricks AI/BI Genie, Mosaic AI, RAG architectures, and Model Serving.
- Technical Leadership & Consultative Discovery: Lead architectural workshops, translate business requirements into technical roadmaps, and troubleshoot production bottlenecks alongside client teams.
- Cross-Functional Collaboration: Act as the primary technical bridge between Tiger Analytics delivery teams, client stakeholders, and Databricks field engineering teams to drive adoption and expand platform capabilities.
- 5+ years of hands-on experience in Data Engineering, Applied AI/ML Engineering,
- Strong proficiency in Python and SQL, with deep hands-on mastery of Apache Spark (performance tuning, query optimization, cluster sizing, and memory management).
- Proven experience implementing Lakehouse architectures, including Delta Lake, Unity Catalog (governance, lineage, access control), and Databricks Workflows.
- Practical experience building and deploying AI/GenAI solutions on Databricks (e.g., Databricks AI/BI Genie, Mosaic AI, Vector Search, LLM integration, or MLflow).
- Experience migrating enterprise data workloads or modernizing legacy BI/data warehouses onto cloud platforms (AWS, Azure, or GCP).
- Exceptional communication and consultative skills, with a demonstrated track record of operating effectively in fast-paced, client-facing environments.
The FDE Mindset
- Strong customer-facing communication and sharp problem-solving instincts.
- Comfortable operating independently, navigating ambiguity, and moving fast from problem → solution → production.
- Equally at home with business and technical stakeholders.
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