Azure AI​/Agentic AI Architect

Azure Agentic AI Architect

Location:

Addison, TX 75001 (100% remote / onsite 1-2 days per week preferred)

Position Type: 6M C2H

Hourly / Salary: to $160K-$170K+ +bonus structure

Vaco is currently seeking an Azure Agentic AI Architect for a 6M C2H opportunity that is located in Addison, TX 75001 (100% remote / onsite 1-2 days per week preferred). The Azure Agentic AI Architect will design and guide end-to-end Agentic AI Solutions utilizing Azure and MS Fabric within a Microsoft Ecosystem.

• AI Architecture Leadership – Lead the Conceptualization / End-to-End Architecture / Full Lifecycle Delivery of Autonomous Multi-Agent AI Systems across Azure / Fabric Ecosystems | Design Agentic Patterns for Intelligent Reasoning / Task Decomposition / Dynamic Planning / Tool Invocation / Cross-System Orchestration Within Enterprise Workflows
• Strategic AI Platform Advisory – Provide Executive-Level / Hands-On Guidance on AI Platform Evolution from Foundational Environment Setup (Landing Zones / Model Strategy / Data Readiness) through Advanced Deployment Models (Multi-Agent Orchestration / RAG Pipelines / Fine-Tuning / Evaluation Frameworks) | Emphasizing Scalability / Resilience / Extensibility
• Enterprise-Grade AI Engineering – Architect Highly Scalable / Production-Ready AI Systems Optimized for Performance / Cost Efficiency / Fault Tolerance | Implement Secure-by-Design Principles / RBAC / Secrets Management / Observability / Auto-Scaling Patterns across Variable Enterprise Loads
• AI Governance / Responsible AI – Champion the Design / Enforcement of Comprehensive Governance Frameworks (Ethical AI Standards / Bias Mitigation / Safety Guardrails / Traceability / Audit Logging / Human-in-the-Loop Controls) | Align AI Systems with Regulatory / Compliance Requirements / Enterprise Risk Policies
• Cross-Functional Translation / Enablement – Collaborate with Business Stakeholders / Data Engineering / Platform Teams / Product Leadership to Translate Complex Domain Challenges into Actionable Agentic Capabilities | Driving Requirement Definition / Capability Mapping / Value Realization Metrics
• Executive Engagement / Thought Leadership – Serve as a Trusted Advisor to Senior Leadership / Decision-Makers | Articulate Technical Vision / ROI / Architectural Trade-Offs / Risk Considerations / Implementation Roadmaps | Influence Investment Decisions / Enterprise Adoption of Agentic AI Solutions

• Azure Agentic AI Architect (hands-on expertise) – Designing / Implementing Agent-First / Multi-Agent AI Systems | Building LLM-Based Solutions Incorporating Reasoning / Planning / Tool Use / Autonomous Decision-Making | Designing End-to-End Agentic Architectures Across Data / Application / Orchestration Layers
• Azure AI Services (deep proficiency) – Azure OpenAI / Azure AI Studio / Azure AI Foundry / Azure Machine Learning | Model Deployment / Prompt Engineering / Fine-Tuning / Evaluation Pipelines / Secure Model Integration Into Enterprise Applications
• MS Fabric (advanced hands-on) – Lakehouse Architecture / Data Engineering Pipelines / Data Science Workflows / Real-Time Intelligence / One Lake / Semantic Models / Ontologies | Designing Fabric Data Agents | AI for Grounded Querying (SQL / KQL / DAX)
• Azure Platform Fundamentals (strong expertise) – Azure Core Infrastructure (Compute / Networking / Storage) | Azure AI Search for RAG / Agentic Retrieval Patterns | Implementation of Azure AI Content Safety Guardrails | Observability (Azure Monitor / Azure Application Insights) | Security Integration (Entra ) / Azure Key Vault / MS Defender for Cloud (MDC) / MS Purview
• Agent Orchestration / Frameworks – MS Agent Framework / Semantic Kernel / Multi-Agent Collaboration Patterns | Tool Integration (Custom Functions / APIs / Connectors) | Memory Management (Short-Term / Long-Term Vector Memory) | Planning Engines / Delegation Strategies for Complex/Multi-Step Workflows
• Responsible AI Principles / Governance (familiarity) – Bias Mitigation / Safety Guardrails / Content Filtering / Human-in-the-Loop Controls | Designing Evaluation Metrics / Governance Controls / Compliance Mechanisms for Production-Grade Agentic Deployments
• Azure Data / Integration Services (solid understanding) – Azure Synapse Analytics / Azure Data Factory (ETL) / Data Orchestration | Extending Agents via MS Power Platform / Copilot Studio | Orchestration (Azure Functions / Azure Logic Apps)

• MS Certifications – AI-102 / AZ-305 / DP-203, etc.

Compensation for this role is based on skill set, experience, and geographic considerations, with a range of $160K-$170K+ plus bonus. Eligible candidates may also receive medical, dental, vision benefits and participation in a 401(k) retirement plan.