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.
Please note: Any Benefits listed above apply to full-time employees.
