Senior AI Analytics Engineer

Location: Hybrid, with in-office collaboration Tuesday through Thursday and remote work optionally available Mondays and Fridays; based in El Paso, Plano, Arlington, or Marlborough, USA.

Company

hirify.global is a global consumer products company operating a portfolio of trusted household, beauty, health, and lifestyle brands.

What you will do

• Design, build, and deploy enterprise AI-enabled analytics solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft 365, Microsoft Graph, and related technologies.
• Develop AI assistants, copilots, RAG solutions, semantic search, agentic workflows, and AI agents that securely use enterprise data and knowledge assets.
• Enable AI-assisted BI capabilities such as natural-language querying, automated insights, narrative reporting, KPI explanations, proactive alerts, and business recommendations.
• Integrate AI solutions with Power BI, semantic models, governed datasets, enterprise APIs, and modern cloud data platforms.
• Prototype and operationalize solutions with Python while supporting forecasting, anomaly detection, marketing analytics, social listening, and enterprise insight generation.
• Define evaluation, observability, monitoring, guardrail, security, and deployment standards; partner with business, BI, data engineering, and platform teams and create reusable patterns and documentation.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related technical field.
• 8+ years of experience delivering enterprise analytics, BI, data, cloud, software, automation, or AI solutions, including 2+ years of hands-on AI or GenAI delivery and production deployment.
• Hands-on experience with Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft Graph, Microsoft 365, Azure AI Search, or similar enterprise AI technologies.
• Experience building AI assistants, copilots, RAG or semantic search solutions, AI agents, or AI-enabled business workflows.
• Experience implementing governance, monitoring, observability, evaluation frameworks, guardrails, and secure deployment practices for enterprise AI.
• Strong proficiency in Python and SQL, plus experience with Power BI, semantic models, governed datasets, enterprise reporting platforms, or BI analytics solutions.
• Experience integrating AI or analytics solutions with Snowflake or comparable cloud data platforms.
• Ability to lead technical workstreams and influence delivery without direct people management responsibility.
• Ability to travel domestically up to 5%.

Nice to have

• Master’s degree in a technical, quantitative, or analytics-related field.
• Experience with Model Context Protocol, Semantic Kernel, LangChain, LangGraph, agent frameworks, tool-calling, plugins, or multi-agent orchestration.
• Experience with Microsoft Fabric, Power Platform, Power Automate, Logic Apps, Azure DevOps, CI/CD, MLOps, LLMOps, or AI observability tools.
• Experience with Jupyter or Microsoft Fabric Notebooks, PySpark, Spark, or distributed data processing.
• Working knowledge of statistical modeling, machine learning fundamentals, forecasting, anomaly detection, or model evaluation.
• Familiarity with Snowflake AI capabilities, including Cortex, Cortex Analyst, Cortex Search, Snowpark, Snowflake ML, or Snowflake Intelligence.
• Experience in consumer products, retail, ecommerce, supply chain, marketing analytics, or enterprise BI environments.

Culture & Benefits

• Flexible hybrid work model with scheduled in-office collaboration and remote work options subject to business needs and manager expectations.
• Salary plus bonus, healthcare, dental and vision coverage, paid holidays, paid parental leave, PTO, and paid charitable leave.
• 401(k) with company match, basic life insurance, short- and long-term disability coverage, and educational assistance.
• Inclusive workplace focused on collaboration, innovation, professional development, and empowering diverse perspectives.