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AI Architect/Engineer (Local to Austin, TX)

Daman ConsultingAustin, TX🇺🇸United StatesPosted 21 Jul 2026

Why This Role Stands Out

Shape the future of AI by architecting cutting-edge Generative AI solutions, with the flexibility of a hybrid role in Austin, TX. If you're a mid-senior AI professional eager to drive innovation and build scalable, secure applications, this is an exceptional opportunity to expand your expertise. Apply today to join a forward-thinking team and make a significant impact!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: AI Architect/Engineer
Location: Hybrid- Austin, TX - 78729
Job Type: Long-term Contract
Job Description

We are seeking an AI Architect with Generative AI expertise to design and guide the implementation of advanced AI-driven applications and platforms. This role bridges enterprise architecture, software engineering, and AI innovation ensuring our solutions are scalable, secure, and player- or employee-focused.
As an AI Architect, you will work closely with product, engineering, data science, and infrastructure teams to design application architectures that integrate LLMs, RAG pipelines, and other GenAI technologies into the ecosystem. You ll ensure solutions align with the global technology strategy while enabling experimentation and rapid innovation.

Responsibilities
  • Architect scalable, secure, and high-performing applications that incorporate Generative AI technologies.
  • Partner with engineering, data, and product teams to translate business and creative needs into technical architectures.
  • Define standards, patterns, and reference architectures for AI-enabled applications.
  • Guide application modernisation initiatives, integrating cloud-native and AI-native approaches.
  • Ensure solutions comply with enterprise security, data privacy, and responsible AI principles.
  • Collaborate with enterprise architects to align AI-driven applications with EA s broader technology strategy.
  • Provide thought leadership and mentorship in GenAI adoption, best practices, and emerging tools.
  • Evaluate new AI/ML technologies, frameworks, and vendors, advising on build vs. buy decisions.
Qualifications
  • 8+ years of experience in application/software architecture, with a strong record of designing enterprise-scale solutions.
  • Good knowledge of Generative AI technologies (e.g., LLMs, RAG, vector databases, prompt engineering).
  • Strong background in cloud platforms (AWS, Azure, or Google Cloud Platform) and microservices architecture.
  • Proficiency in modern programming languages (Python, Node.js, Java, or similar).
  • Familiarity with MLOps and AI integration patterns (model deployment, inference optimization, monitoring).
  • Strong understanding of enterprise security, compliance, and governance requirements.
  • Excellent communication skills, able to influence technical and business stakeholders alike.

Skills

Microservices
Node.js
AWS
MLOps
Azure
Generative AI
Google Cloud
Java
Python

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