AI Architecture Consultant

Duties/Responsibilities

• Design and implement generative, agentic, predictive, and autonomous AI and machine learning solutions using Azure Foundry AI, including model selection, prompt engineering, RAG patterns, and responsible AI governance.
• Develop end-to-end data and AI pipelines in Microsoft Fabric and Copilot Studio, leveraging Data Factory, Synapse Data Engineering, One Lake, Real-Time Analytics, and AWS Redshift.
• Build and extend Microsoft 365 Copilot and custom Copilot agents using Copilot Studio, Graph connectors, and plugins to automate business processes.
• Integrate Azure OpenAI, Azure AI Search, and Azure AI Document Intelligence into line-of-business applications and intranet experiences.
• Architect semantic models, lake houses, and data warehouses in Microsoft Fabric to support AI workloads and analytics.
• Develop secure APIs and orchestration layers using Azure Functions, Logic Apps, and API Management to expose AI capabilities.
• Implement MLOps/LLMOps practices for model deployment, monitoring, evaluation, and versioning using Azure Machine Learning and Azure Dev Ops.
• Collaborate with business stakeholders to identify high-value AI use cases, define success metrics, and deliver POCs and production solutions.
• Ensure compliance with data privacy, security, and responsible AI standards, including content filtering, grounding, and auditability.
• Provide technical documentation, architecture diagrams, and knowledge transfer to LIPA staff.
• Assume project management duties, including planning, scheduling, monitoring, and presenting project status to stakeholders throughout the project lifecycle.
• Troubleshoot and optimize performance, latency, and cost of AI solutions in Azure.

• 8+ years of experience in software engineering, data engineering, or AI/ML solution development in enterprise environments.
• 5+ years of hands-on experience with Microsoft Azure AI services, including Azure OpenAI Service, Azure AI Search, Azure Machine Learning, Azure AI Foundry, and Copilot Studio.
• 3+ years of experience with Microsoft Fabric, including One Lake, Data Engineering, Data Science, and Real-Time Intelligence workloads.
• 3+ years of experience building Microsoft 365 Copilot extensions, Copilot Studio agents, Graph connectors, and Teams message extensions.
• Strong proficiency in Python, C#, or Type Script for AI application development and API integration.
• Experience implementing RAG architectures, vector databases, embeddings, and prompt flow orchestration.
• Proven knowledge of MLOps/LLMOps, CI/CD for ML, model monitoring, and Azure Dev Ops or Git Hub Actions.
• Familiarity with Microsoft Purview for data governance, Microsoft Entra  identity, and Azure security best practices.
• Experience with Power Platform integration, including Power Automate and Power Apps, to operationalize AI outputs.
• Bachelor’s degree in computer science, Data Science, Engineering, or related field, or equivalent work experience.
• Relevant Microsoft certifications preferred: AI-102, DP-600, PL-300, or AI-900.