AI/Data Solutions Architect

Amerivet is seeking an AI/Data Solutions Architect to lead the design of scalable analytics, reporting, and AI-enabled solutions across the organization. This role bridges AI solutions design, data architecture, BI architecture, and business analytics.

Responsibilities

• Design and support AI-enabled analytics use cases using Claude, OpenAI, Python, and modern LLM frameworks.
• Build or support RAG-based solutions connecting 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.
• Define scalable, secure, governed, and production-ready AI solution patterns.
• Support AI governance practices including responsible usage, data privacy, access controls, auditability, and documentation.
• Support architecture and implementation of MCP server-based integrations.
• Design AI agents and assistant workflows that 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.
• 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.

Requirements

• 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.

Skills

• 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 Qualifications

• Claude / Anthropic certification.
• 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, and business performance analytics.

Schedule

This role is located in San Antonio, TX and requires the employee to be on-site at the office 3 days a week.

Benefits

• Tailored development programs, mentorship, and career pathing.
• Competitive pay, performance bonuses, 401(k) matching, and student loan assistance.
• Health, dental, vision, life insurance, and mental health resources.
• Generous paid time off and holidays.
• Supportive, collaborative environment where everyone feels a sense of belonging.

Benefits listed apply to full-time employees.