AI Solutions Architect

We 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.

Dallas, TX (Hybrid)

Key Responsibilities

• Design scalable, secure AI architectures aligned with business needs
• Translate requirements into end‑to‑end AI solutions across data, models, and apps
• Develop standards for RAG, copilots, agents, ML, and automation
• Evaluate AI tools, platforms, and vendors
• Ensure performance, scalability, cost‑efficiency, and security

Hands‑on Development

• Build AI applications using platforms like Azure OpenAI, Copilot Studio, and Claude
• Develop RAG pipelines, agents, and business automations
• Create prompts, guardrails, and evaluation frameworks
• Prototype and productionize AI use cases rapidly

Data & Snowflake Integration

• Design pipelines connecting Snowflake and enterprise data to AI systems
• Build embedding pipelines, vector search, and semantic data layers
• Partner with data teams (dbt, ADF, Databricks) to prepare AI‑ready data
• Leverage Snowflake features (Cortex AI, Snowpark, Streams & Tasks)
• Ensure data governance, security, and compliance standards

Integration & Enterprise Fit

• Integrate AI solutions with Microsoft 365, Teams, SharePoint, ERP, and business systems
• Define secure architecture across identity, networking, and data flows
• Partner cross‑functionally to deploy and operationalize AI solutions
• Establish monitoring, observability, and production support models

Leadership & Continuous Improvement

• Mentor engineers and guide technical design decisions
• Define coding, security, and responsible AI standards
• Monitor AI performance (quality, cost, latency) and optimize continuously
• Communicate technical strategy to stakeholders at all levels

Required Qualifications

• 7+ years in software engineering or architecture
• 2+ years building and architecting AI/ML solutions end‑to‑end
• Strong Python (or similar) and experience with AI frameworks (OpenAI, LangChain, Semantic Kernel, etc.)
• Strong SQL and experience with Snowflake or similar data platforms
• Expertise in modern data architectures (warehouse, lakehouse, ETL/ELT)
• Deep understanding of LLMs, embeddings, vector search, and orchestration
• Strong enterprise architecture knowledge (cloud, security, integration, identity)
• Excellent stakeholder communication skills
• Understanding of responsible AI principles (privacy, bias, security)

Preferred Qualifications

• Experience with Snowflake tools (Cortex AI, Snowpark, Dynamic Tables, etc.)
• Background in dbt, Azure Data Factory, Fivetran, or Airbyte
• Experience with Microsoft AI stack (Azure OpenAI, Fabric, Copilot Studio)
• Data architecture expertise (lakehouse, data mesh, MDM)
• Experience building agent‑based or multi‑step AI workflows
• Familiarity with LLMOps (evaluation, monitoring, CI/CD for AI)
• Relevant certifications (Azure Solutions Architect, SnowPro, AI Engineer)
• Bachelor’s or Master’s in CS, Engineering, or related field

What You’ll Bring

• Strong systems thinking with a hands‑on builder mindset
• Ability to move seamlessly between architecture, code, and data
• Pragmatic approach to delivering scalable AI solutions
• Focus on delivering real business value with trusted enterprise data