Forward Deployed Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+24 more
Job description
Weβre looking for a Forward Deployed Engineer who thrives at the intersection of client problem-solving and hands-on AI engineering. Youβll 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., 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., Designs, implements, optimizes, and maintains advanced game AI systems for believable NPC behavior in an AAA production. Responsibilities include behavior trees, navigation, perception, decision-making, debugging, profiling, performance optimization, gameplay integration, technical direction, code reviews, and mentoring junior programmers. The role collaborates with design, animation, gameplay, and systems teams and requires strong C++ programming and game engine experience. Top Skills: Behavior TreesC++GitPathfindingPerforceProprietary Game EnginesSensory FrameworksState MachinesUnityUnreal EngineUtility Systems NBCUniversal, Leads production across multiple external game-development teams for an interactive entertainment portfolio. Manages plans, milestones, budgets, risks, dependencies, review gates, publishing workflows, launches, and post-launch support. Partners with creative, product, engineering, legal, and business teams while improving external-development processes and scaling production operations. Requires extensive video game production experience, UGC or creator ecosystem familiarity, and strong cross-functional leadership.
Requirements
- 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.
Benefits & conditions
United States Easy Apply 54K-91K Annually Senior level 54K-91K Annually Senior level Cloud * Security * Software * Cybersecurity * Automation Leads regional candidate experience operations, including interview coordination, offers, contracts, background checks, onboarding handoffs, workload balancing, escalations, and specialist development. Builds candidate experience reporting, identifies process risks and bottlenecks, standardizes global coordination processes, and partners with recruiting, hiring managers, People Operations, IT, and talent leadership across time zones. Top Skills: Applicant Tracking Systems (Ats)GitlabGoogle WorkspaceGreenhouseModernloop
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
About the company
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
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this roleβ¦