Senior AI Architect - Enterprise GenAI & Frameworks

Programmers.io

Dallas (TX)

On-site

USD 180,000 - 230,000

Full time

2 days ago
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Job summary

Programmers.io is seeking a senior, full-stack AI Architect in Dallas to own end-to-end architecture for enterprise AI systems, spanning data, models, retrieval/orchestration, and serving. You will build reusable frameworks for AI-driven software development and stay hands-on through delivery, while partnering with client leadership on technical direction.

The role requires deep expertise in traditional AI/ML and GenAI/agentic systems, with strong Python, cloud, and MLOps capabilities.

Qualifications

  • 12+ years in software/data engineering or solution architecture.
  • 5+ years AI/ML and 2+ hands-on with production GenAI/LLM systems.
  • Experience delivering enterprise AI systems.
  • Strong Python expertise; API and microservices design.
  • Cloud platforms experience (AWS/Azure/GCP).

Responsibilities

  • Own end-to-end architecture for enterprise AI systems, spanning data, model, retrieval/orchestration, serving, and integration.
  • Architect across the full ML spectrum, including GenAI/agentic systems and LLMs.
  • Design and build AI-driven SDLC frameworks and guardrails for enterprise delivery.
  • Define MLOps/LLMOps practice: CI/CD for models, registries, drift monitoring.
  • Embed responsible-AI, security, data governance, and model risk in architectures.
  • Mentor delivery teams and present architecture to executives.

Skills

Python
AI/ML
MLOps
Mentoring
Communication

Education

Experience in software/data engineering

Tools

Docker
Kubernetes
LangChain
LlamaIndex
Pinecone
pgvector

Job description

Programmers.io is seeking a senior, full-stack AI Architect in Dallas to own end-to-end architecture for enterprise AI systems, spanning data, models, retrieval/orchestration, and serving. You will build reusable frameworks for AI-driven software development and stay hands-on through delivery, while partnering with client leadership on technical direction.

The role requires deep expertise in traditional AI/ML and GenAI/agentic systems, with strong Python, cloud, and MLOps capabilities.

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