AI Solutions Architect
Dallas, TX (Hybrid)
Salary: $150,000-170,000, with annual bonus
Must currently live in Dallas. Texas is an option if self relocating is an option.
Health, Dental, 401K Benefits.
Role is not open to visa candidates or candidates working with third parties.
About the Rol
eWe are seeking a highly skilled AI Solutions Architect to design and build our enterprise AI capabilities end-to-end. This is a hands-on role where you’ll define architecture standards, select technologies, and actively develop AI-powered applications, agents, and automations
.You will play a critical role in connecting AI solutions to the company’s data ecosystem — especially Snowflake — ensuring all solutions are built on trusted, governed data. This position is ideal for a senior technologist who thrives equally in architecture design, coding, and data engineering
.
Key Responsibiliti
es
Architecture & Solution Des
- ignDesign scalable, secure AI architectures aligned with business ne
- edsTranslate requirements into end-to-end AI solutions across data, models, and a
- ppsDevelop standards for RAG, copilots, agents, ML, and automat
- ionEvaluate AI tools, platforms, and vend
- orsEnsure performance, scalability, cost-efficiency, and secur
ityHands-on Developm
- entBuild AI applications using platforms like Azure OpenAI, Copilot Studio, and Cla
- udeDevelop RAG pipelines, agents, and business automati
- onsCreate prompts, guardrails, and evaluation framewo
- rksPrototype and productionize AI use cases rapi
dlyData & Snowflake Integrat
- ionDesign pipelines connecting Snowflake and enterprise data to AI syst
- emsBuild embedding pipelines, vector search, and semantic data lay
- ersPartner with data teams (dbt, ADF, Databricks) to prepare AI-ready d
- ataLeverage Snowflake features (Cortex AI, Snowpark, Streams & Tas
- ks)Ensure data governance, security, and compliance standa
rdsIntegration & Enterprise
- FitIntegrate AI solutions with Microsoft 365, Teams, SharePoint, ERP, and business syst
- emsDefine secure architecture across identity, networking, and data fl
- owsPartner cross-functionally to deploy and operationalize AI soluti
- onsEstablish monitoring, observability, and production support mod
elsLeadership & Continuous Improvem
- entMentor engineers and guide technical design decisi
- onsDefine coding, security, and responsible AI standa
- rdsMonitor AI performance (quality, cost, latency) and optimize continuou
- slyCommunicate technical strategy to stakeholders at all lev
els
Required Qualificat
- ions7+ years in software engineering or architec
- ture2+ years building and architecting AI/ML solutions end-to
- -endStrong Python (or similar) and experience with AI frameworks (OpenAI, LangChain, Semantic Kernel, e
- tc.)Strong SQL and experience with Snowflake or similar data platf
- ormsExpertise in modern data architectures (warehouse, lakehouse, ETL/
- ELT)Deep understanding of LLMs, embeddings, vector search, and orchestra
- tionStrong enterprise architecture knowledge (cloud, security, integration, ident
- ity)Excellent stakeholder communication sk
- illsUnderstanding of responsible AI principles (privacy, bias, secur
ity)
Preferred Qualifica
- tionsExperience with Snowflake tools (Cortex AI, Snowpark, Dynamic Tables,
- etc.)Background in dbt, Azure Data Factory, Fivetran, or Ai
- rbyteExperience with Microsoft AI stack (Azure OpenAI, Fabric, Copilot St
- udio)Data architecture expertise (lakehouse, data mesh,
- MDM)Experience building agent-based or multi-step AI work
- flowsFamiliarity with LLMOps (evaluation, monitoring, CI/CD fo
- r AI)Relevant certifications (Azure Solutions Architect, SnowPro, AI Engi
- neer)Bachelor’s or Master’s in CS, Engineering, or related
field
What You’ll
- BringStrong systems thinking with a hands-on builder m
- indsetAbility to move seamlessly between architecture, code, an
- d dataPragmatic approach to delivering scalable AI sol
- utionsFocus on delivering real business value with trusted enterpris
e data