Data Architect

Role Summary Amerivet is looking for a AI/Data Solutions Architect who can lead the design of scalable analytics, reporting, and AI-enabled solutions across the organization. This role will sit at the intersection of AI solutions design, data architecture, BI architecture and business analytics. The ideal candidate will have strong hands-on experience with Microsoft Fabric, Power BI, Python, Claude, RAG frameworks, token optimization, and MCP server concepts. This individual should be able to design modern data and AI solutions, partner with business stakeholders, and help move AI-enabled analytics from concept to production. A Claude certified / Anthropic certification is preferred. Key Responsibilities AI Architecture & Enablement Design and support AI-enabled analytics use cases using Claude, OpenAI, Python, and modern LLM frameworks. Build or support RAG-based solutions that connect enterprise data, documentation, and business context to LLM-powered workflows. Identify opportunities where AI can improve analytics, reporting, automation, decision intelligence, and business productivity. Apply best practices for prompt engineering, context management, model selection, token optimization, and cost control. Help define scalable, secure, governed, and production-ready AI solution patterns. Support AI governance practices including responsible usage, data privacy, access controls, auditability, and documentation. MCP / Agentic Workflow Support Support architecture and implementation of MCP server-based integrations where applicable. Help design AI agents and assistant workflows that can securely interact with enterprise tools, reporting assets, data sources, and documentation. Collaborate with engineering teams to define tool access, retrieval logic, orchestration patterns, and integration standards. Data, BI & Analytics Architecture Design scalable data, BI, and analytics architecture using Microsoft Fabric, Power BI, and modern cloud-based data platforms. Build and guide the development of semantic models, curated datasets, reporting layers, and enterprise analytical data structures. Lead the architecture and design of Power BI reporting solutions, dashboards, and self-service analytics capabilities. Define best practices for data modeling, metric standardization, data governance, reporting architecture, and BI platform development. Partner with business and technical teams to translate strategic requirements into scalable data and analytics solutions. Support enterprise KPI frameworks, executive dashboards, operational reporting, and reusable reporting patterns. Required Technical Skills The candidate should have strong working knowledge of the following: Microsoft Fabric Power BI Python Claude OpenAI Generative AI / LLMs RAG frameworks Prompt engineering Token optimization MCP server concepts Data modeling and semantic layer design- SQL and analytical data structures Dashboard design and KPI development Data governance and reporting standardization API-based data and AI integrations Preferred Skills & Certifications Claude / Anthropic certification preferred. Experience building production-grade AI or GenAI solutions. Experience with vector databases, embeddings, semantic search, and enterprise knowledge retrieval. Experience with enterprise AI governance, model evaluation, and cost monitoring. Experience with Azure AI, Azure OpenAI, or related cloud AI services. Familiarity with agentic AI frameworks, tool calling, workflow orchestration, and AI-assisted analytics. Experience supporting executive, finance, operations, clinical, & business performance analytics. Required Qualifications 5 + years of experience in data architecture, analytics architecture, BI architecture, AI architecture, or related roles. Strong hands-on experience with Power BI, data modeling, semantic models, and dashboard delivery. Strong understanding of Microsoft Fabric or modern cloud-based analytics platforms. Practical knowledge of AI, LLMs, RAG patterns, and enterprise AI use cases. Experience working directly with business stakeholders to define metrics, requirements, and solution architecture. Ability to design scalable, governed, and production-ready data and AI solutions. Strong analytical thinking, problem-solving, communication, and documentation skills. Ability to operate independently and lead solution design from concept to delivery. This role is located in San Antonio, TX and requires the employee to be on-site at our office 3 days a week. At AmeriVet, we're committed to your growth, development, well-being, and success. We empower team members with the resources, support, and opportunities needed to thrive in their careers and make a lasting impact in our communities. Tailored development programs, mentorship, and career pathing to help you achieve your unique goals. Competitive #J-18808-Ljbffr