Senior AI /ML & Generative AI Architect (Azure Platform Lead)

• Act as the lead architect and hands‐on contributor for AI/ML and Generative AI initiatives across the enterprise
• Design and implement traditional ML, advanced analytics, and GenAI solutions (LLMs, embeddings, retrieval‐augmented generation, copilots, intelligent assistants)
• Translate business use cases into scalable, production‐ready AI architectures
• Define standards and best practices for model development, evaluation, deployment, and governance

• Architect and deploy AI solutions primarily within an Azure‐based ecosystem
• Leverage Azure AI Foundry, Azure OpenAI, Azure ML, and supporting Azure services
• Design and optimize data pipelines and feature stores using:
  • Databricks
  • Snowflake
  • Oracle
  • Redis
• Ensure architectures are secure, performant, scalable, and cost‐efficient

• Design AI/analytics solutions that incorporate GPS and geospatial data
• Support use cases related to store locations, logistics, supply chain, fleet, customer movement, and location‐aware insights
• Integrate geospatial data with enterprise analytics and AI models to drive real‐world decisioning

• Build and review production‐quality code, primarily in Python
• Support both architecture and development, including:
  • Model training and experimentation
  • API/service design
  • CI/CD and MLOps practices
• Drive deployment into production using Azure‐native and cloud‐aligned deployment patterns

• Work effectively with offshore development teams, providing clear architectural guidance and code reviews
• Partner closely with data engineers, platform teams, product owners, and business stakeholders
• Serve as a technical mentor and thought leader within the AI practice

• Senior‐level experience in AI/ML and Generative AI
• Strong expertise in Microsoft Azure, with hands‐on production experience
• Experience with Azure AI Foundry
• Deep experience with:
  • Databricks
  • Snowflake
  • Oracle
  • Redis
• Strong Python development skills
• Experience across architecture, development, and deployment (not architecture‐only)

• Strong understanding of cloud data platforms, modern data stacks, and AI‐aligned architectures
• Experience designing scalable, resilient ML/AI systems in enterprise environments
• Familiarity with MLOps, model lifecycle management, and deployment automation

• Experience working with GPS or geospatial data and integrating it into analytics or AI workflows
• Ability to design location‐aware solutions that support operational and business use cases

• Comfortable working with offshore and distributed teams
• Excellent communication skills; able to explain complex AI concepts to technical and non‐technical audiences
• Proven ability to lead technically while remaining hands‐on

• Experience in retail, supply chain, logistics, or field‐based operations

Our benefits package includes: 

• Comprehensive medical benefits
• Competitive pay 
• 401(k) retirement plan 
• …and much more!