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AI Solutions Architect

Hybrid in Dallas, TX, US • Posted 3 hours ago • Updated 3 hours ago

Contract Corp To Corp

Contract W2

12 Months

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

Agentic AI
LLM
RAG
Azure

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10126072
Position Id: 9093830
Posted 3 hours ago

Contact the job poster

Fayaz Shaik

Recruiter @ Anblicks

View Profile

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