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AI Solution Architect
Intellectyx
- Pasadena, Texas, United States
- Pasadena, Texas, United States
Über
You will lead architectural planning across *Digital (App & API Layer)*, *Data (Integration & Analytics Layer)*, and *Agentic AI (Automation & Intelligence Layer)*, enabling end-to-end alignment of technology capabilities with business outcomes.
*Key Responsibilities*
*1. Architecture Strategy & Governance*
* Define and maintain the *enterprise architecture roadmap* covering applications, data, AI, and cloud infrastructure.
* Establish architecture principles, design standards, and reference models aligned with Intellectyx’s AI-native platform vision.
* Conduct architecture reviews and ensure alignment across solution, data, and infrastructure domains.
* Partner with leadership to translate business goals into scalable and modular technology blueprints.
*2. Digital Architecture*
* Architect and integrate large-scale *digital applications* built on *Python (Django, FastAPI)*, *React*, *Redux*, and *PostgreSQL*.
* Define API and microservices strategies for reusability and interoperability.
* Ensure secure, observable, and high-performing architecture in *AWS and Azure* environments.
*3. Agentic AI & Automation*
* Design *multi-agent architectures* using *AgnoAI*, *MCP*, *LangChain*, *LangGraph*, and *Langfuse* frameworks.
* Define orchestration patterns for LLM-driven automation, reasoning, and workflow execution.
* Establish governance around prompt templates, vector stores, and context retrieval pipelines for intelligent decision systems.
*4. Data & Analytics Architecture*
* Architect data solutions using *Snowflake*, *Azure Synapse*, *Azure Data Factory*, and *Databricks*.
* Enable unified data observability, lineage tracking, and semantic modeling for AI-readiness.
* Oversee analytics architecture integrating *Tableau* and *Power BI* for business visualization and storytelling.
* Collaborate with Data Science teams to operationalize ML/AI models and ensure scalability, governance, and performance.
*5. Cloud & Infrastructure*
* Architect hybrid and multi-cloud solutions leveraging *AWS* and *Azure* for compute, storage, and orchestration.
* Champion *Infrastructure-as-Code (Terraform)* and DevOps best practices.
* Drive cost optimization, resilience, and high availability across distributed deployments.
*Qualifications*
* *10+ years* of IT experience with *5+ years* in architecture or technical leadership roles.
* Proven experience designing *enterprise-scale systems*, SaaS platforms, or AI/data architectures.
* Deep expertise in:
* *Digital:* Python, Django, FastAPI, React, Redux, PostgreSQL
* *Agentic AI:* AgnoAI, MCP, LangChain, LangGraph, Langfuse, LLM integration
* *Data:* Snowflake, Azure Synapse, Azure Data Factory, Databricks, Tableau, Power BI
* *Cloud:* AWS, Azure, Terraform, Kubernetes
* Strong knowledge of *architecture frameworks* (TOGAF, Zachman) and design principles (Domain-Driven Design, Event-Driven Architecture).
* Excellent communication and documentation skills for engaging both executive and technical stakeholders.
*Preferred Experience*
* Experience defining enterprise reference architectures for AI-native or multi-agent platforms.
* Strong understanding of *data governance, security, and compliance* frameworks.
* Experience working in multi-tenant SaaS or large-scale enterprise environments.
* Prior involvement in technology modernization, digital transformation, or AI strategy programs.
Job Type: Full-time
Pay: $126,519.16 - $152,367.16 per year
Work Location: In person
Sprachkenntnisse
- English
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