Conversational Bi Engineer

Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our DigitalPlatform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation.Digital Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed.To know more please visit: Overview:
The Conversational BI Engineer designs, builds, evaluates, and operates governed natural-language analytics and AI experiences for the customer. The role connects certified enterprise data and semantic context to secure conversational interfaces across Microsoft, Snowflake, Databricks, and SAP ecosystems.Required Qualifications:
7+ years in BI, analytics engineering, AI solution engineering, application development, data science, or a related field.Hands-on delivery using at least one of Snowflake Cortex AI, Databricks Genie/AI-BI, Microsoft Copilot Studio/Fabric/Azure AI, or SAP BDC/Joule, plus working knowledge of the other ecosystems.Strong SQL and proficiency with Python, APIs, JSON, authentication, semantic models, and enterprise integration.Experience with RAG, evaluation frameworks, prompt/instruction engineering, observability, security testing, CI/CD, and production support.Ability to translate business questions into governed analytic intents, testable expected answers, and safe response behavior.Preferred qualifications:
Manufacturing, SAP, Finance, Supply Chain, HSE, or operations analytics experience.Agent frameworks, MLflow, model serving, vector search, Streamlit, notebooks, and embedded analytics.Responsible AI risk assessment, red teaming, privacy engineering, and human-in-the-loop design.Expanded technology requirements:
Cross-platform architecture across Microsoft Fabric and Power BI, Snowflake, Databricks, and SAP Business Data Cloud, including workload placement, interoperability, semantic consistency, identity, networking, data movement, resiliency, and total-cost tradeoffs.SAP Business Data Cloud ecosystem: SAP Datasphere, SAP Analytics Cloud, SAP Databricks, SAP HANA Cloud, SAP Master Data Governance, SAP BW modernization, curated business data products, and governed third-party connectivity.Snowflake ecosystem: architecture and virtual warehouses, RBAC, secure sharing, Snowpark, Streamlit, Cortex AI Functions, Cortex Analyst, Cortex Search, Cortex Agents, embeddings/vector patterns, observability, and consumption controls.Databricks ecosystem: lakehouse and medallion architectures, Delta Lake, Unity Catalog, Lakeflow, SQL Warehouses, notebooks, MLflow, Model Serving, vector search, AI/BI dashboards, Genie Agents, and governed business semantics.Microsoft ecosystem: Power BI and Fabric semantic models, Direct Lake, OneLake, lakehouse/warehouse, pipelines, notebooks, Copilot Studio, Azure AI services, APIs, deployment pipelines, monitoring, and capacity management.Engineering and governance: advanced SQL, Python, REST APIs, OAuth/service principals, secrets management, Git and CI/CD, automated testing, metadata, lineage, data quality, FinOps, privacy, cybersecurity, and Responsible AI controls.Platform-neutral design using approved open formats, APIs, reusable data contracts, portable business definitions, and documented integration boundaries to limit avoidable lock-in.Conversational platform depth: Snowflake Cortex Analyst, Search, Agents and AI Functions;
Databricks Genie Agents, AI/BI dashboards and Unity Catalog semantics;
Microsoft Copilot Studio, Fabric and Azure AI;
SAP BDC, SAP Analytics Cloud and Joule-related analytical experiences.AI lifecycle: use-case qualification, prompt and semantic design, offline/online evaluation, release gates, monitoring, incident response, cost management, model or platform change assessment, and continuous improvement.Responsibilities:
Configure trusted datasets, semantic instructions, business rules, sample and verified queries, synonyms, clarification flows, citations, and response guardrails.Build experiences using Snowflake Cortex Analyst/Search/Agents and AI Functions, Databricks Genie/AI-BI and Unity Catalog semantics, Microsoft Copilot Studio/Fabric/Azure AI, and SAP BDC/Joule or analytical AI capabilities.Implement RAG, semantic search, embeddings, vector stores, tool/function calling, structured outputs, agent orchestration, identity-aware retrieval, prompt/version management, and human escalation.Create golden question sets, labeled test data, automated regression evaluations, adversarial/security testing, telemetry, and quality dashboards.Apply RBAC, DLP, privacy, retention, logging, auditability, model and data access controls, safety policies, and Responsible AI governance.Monitor adoption, failures, hallucination/grounding risks, semantic drift, latency, capacity, token/compute consumption, and platform changes.Partner with subject-matter experts, semantic engineers, BI developers, cybersecurity, governance, legal/privacy, and platform teams for production acceptance.Education:
Bachelor’s degree in computer science, Information Technology, or a related field.Equivalent work experience may be considered in place of formal education.Location:
Remote, CanadaJob Type:
ContractEverestDx is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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