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Senior AI Cloud Architect

Plano, TX, US • Posted 3 days ago • Updated 9 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Systems Design
Orchestration
Technical Drafting
Machine Learning (ML)
Scalability
Collaboration
Workflow
IaaS
Performance Tuning
Software Engineering
Systems Architecture
FOCUS
Cloud Computing
Kubernetes
Vector Databases
Microsoft Certified Professional
Transformer
BERT
Design Documentation
Specification Gathering
Training
SaaS
Artificial Intelligence

Summary

Job Type

Full-time

Description

We are seeking a Senior AI Cloud Architect with deep expertise in AI/LLM system design and cloud-native architectures to lead the design, development, and delivery of scalable AI-powered applications. This role will play a critical part in architecting end-to-end solutions that leverage modern LLM frameworks, agentic AI, and cloud infrastructure, while partnering closely with engineering and product teams from concept through production.

Key Responsibilities:

Architect, design, and deliver AI/LLM-powered cloud-native applications from initial concept through production deployment
Design and implement Retrieval-Augmented Generation (RAG) pipelines, including integration with vector databases
Lead architectural decisions for agentic AI systems, including deployment, orchestration, and scalability
Develop and maintain architecture diagrams, technical design documents, and AI/ML white papers
Build and deploy applications on Kubernetes-based cloud platforms, ensuring reliability, scalability, and security
Collaborate with cross-functional teams to translate business requirements into robust technical solutions
Work with large datasets, including data preparation, model training, and fine-tuning workflows
Evaluate and integrate emerging AI technologies, tools, and protocols into the platform architecture
Ensure best practices across cloud infrastructure, AI governance, observability, and performance optimization

Requirements

8+ years of experience in software engineering, systems architecture, or a related technical role, with significant hands-on experience designing and delivering AI/LLM-driven, cloud-native applications
Senior-level experience as an Architect with a strong focus on AI / LLM development
Proven experience building cloud-native applications deployed on Kubernetes
Hands-on experience designing and implementing RAG pipelines and working with vector databases
Experience using MCP or A2A protocols
Deep understanding of Transformer-based architectures, including BERT and related models
Demonstrated experience creating AI architecture and design documentation (e.g., white papers, design specs)
Experience building and deploying agentic AI agents in production environments
Strong background working with large datasets, including model training and fine-tuning
Proven track record of delivering applications end-to-end, from design through production

Nice to Have

Experience building highly scalable SaaS platforms
Exposure to multi-tenant architectures and enterprise-grade AI solutions
Experience working in cross-functional or distributed engineering teams

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: ZHONE
Position Id: 9f57265c9f4987134c5850ff0f5f40b
Posted 3 days ago

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