Forward Deployed Engineer – GenAI, Agentic AI

🔥 18 hours ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 1 day.
• Jobs at this company usually fill in 43 days.
• No salary listed.

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Partner directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and Agentic AI solutions • Own the journey from first conversation through live deployment • Embed with client engineering and business stakeholders to design, build, and deploy end-to-end production solutions on Databricks • Architect scalable data pipelines using Delta Lake, Unity Catalog, and Apache Spark • Handle complex cloud migrations, legacy BI modernization, and performance and cost optimization • 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 • Lead architectural workshops and translate business requirements into technical roadmaps • Troubleshoot production bottlenecks alongside client teams • Serve as the primary technical bridge between Tiger Analytics delivery teams, client stakeholders, and Databricks field engineering teams • Drive platform adoption and expand platform capabilities

🎯 Requirements

• 5+ years of hands-on experience in Data Engineering, Applied AI/ML Engineering • Strong proficiency in Python and SQL • Deep hands-on mastery of Apache Spark, including 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, including Databricks AI/BI Genie, Mosaic AI, Vector Search, LLM integration, or MLflow • Experience migrating enterprise data workloads or modernizing legacy BI/data warehouses onto AWS, Azure, or GCP • Exceptional communication and consultative skills, with a demonstrated track record in fast-paced, client-facing environments • Strong customer-facing communication and problem-solving skills • Ability to operate independently, navigate ambiguity, and move quickly from problem to solution to production • Ability to work effectively with business and technical stakeholders

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