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AI Solutions Architect

AnblicksDallas, TX🇺🇸United StatesPosted Oct 24, 2026

Why this role stands out

This hybrid AI Solutions Architect role offers a fantastic opportunity to shape cutting-edge AI solutions like LLM applications and RAG systems, leveraging your extensive experience in Python and cloud-native services. You'll thrive here if you possess strong problem-solving skills, a deep understanding of enterprise data, and a passion for responsible AI, with the chance to mentor engineers and influence technical strategy. Apply now to advance your career at a reputable company and make a significant impact.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationDallas, TX, United States
PostedYesterday
SQLLLMPythonGenerative AIAzureCI/CDRAG

Job description

Required Qualifications
  • 10+ years of technology delivery experience, including significant solution architecture or technical leadership responsibility.
  • Proven experience designing and delivering production-grade AI solutions such as LLM applications, RAG systems, agentic workflows, intelligent automation, or ML-enabled products.
  • Hands-on software engineering capability in Python and/or a modern full-stack technology, including APIs, cloud-native services, integration, testing, and deployment practices.
  • Ability to translate loosely defined business problems into measurable use cases, architecture decisions, implementation increments, risks, and acceptance criteria.
  • Experience with prompt and context design, model evaluation, grounding approaches, tool/API integration, observability, and secure deployment patterns.
  • Strong knowledge of enterprise data architecture, SQL, data quality, semantic concepts, and data-access controls.
  • Understanding of responsible AI, privacy, security, model risk, and governance practices for sensitive enterprise data.
  • Clear written and verbal communication, including the ability to influence technical and executive audiences.
  • Experience mentoring engineers and performing architecture and code reviews in iterative delivery environments.
Preferred Qualitiffications
  • Experience with Microsoft Azure AI services, Azure AI Foundry, Azure OpenAI, Azure data services, or comparable cloud AI platforms.
  • Experience with Anthropic Claude, OpenAI-compatible APIs, Model Context Protocol, vector search, knowledge graphs, agent frameworks, and enterprise RAG patterns.
  • Full-stack experience with modern web frameworks, API gateways, containers, CI/CD, infrastructure as code, and production observability.
  • Experience in financial services, lending, collections, servicing, compliance, risk, dealer operations, or another highly regulated industry.
  • Familiarity with PII/NPPI controls, model validation, audit evidence, and human-in-the-loop approval patterns.
  • Cloud or AI architecture certifications.

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