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AI Solutions Architect

AnblicksDallas, TX🇺🇸United StatesPosted Sep 23, 2026

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

Dallas, TX, United States

Posted

Yesterday

SQLAzureLLMPython

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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