Azure AI / Agentic AI Architect

Azure Agentic AI Architect
DETAILS
Location: Addison, TX 75001 (100% remote / onsite 1-2 days per week preferred)
Position Type: 6M C2H
Hourly / Salary: to $160K-$170K+ +bonus structure

JOB SUMMARY
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

 
JOB REQUIREMENTS

• 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 / OneLake / 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 ID) / 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 DataFactory (ETL) / Data Orchestration | Extending Agents via MS Power Platform / Copilot Studio | Orchestration (Azure Functions / Azure Logic Apps)

 
PREFERRED (not required)

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

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.