AI Architect

Cloudious LLC; Atlanta (GA); On-site; USD 150,000 - 230,000; Full time

Job summary

Cloudious LLC in Atlanta, GA seeks a seasoned AI Architect to lead enterprise solution architecture, define scalable tech strategies, and drive GenAI integration across Microsoft ecosystems.

You will bridge business goals with architectural design, embed GenAI into workflows, ensure security and reliability, and mentor engineering teams while shaping modernization roadmaps.

Qualifications

• Hands-on GenAI architecture across enterprise solutions.
• Experience with Azure OpenAI, Cognitive Services, and Databricks.
• Proven ability to design cloud-native, AI-powered architectures on Azure.
• Strong knowledge of microservices, API-first patterns, and security practices.
• Ability to define reference architectures and reusable frameworks.

Job description

We are seeking a seasoned AI Architect who can lead enterprise solution architecture, define scalable technology strategies, and drive innovation across modern Microsoft ecosystems.

The ideal candidate will act as a trusted technology advisor, bridging business objectives with advanced architecture design, enabling intelligent automation, and ensuring high-quality, scalable, and future-ready solutions. This role requires deep expertise in cloud-native architecture, and the ability to embed GenAI capabilities into enterprise solutions.

Primary Skill Set (Must-Have)

Architecture & Technical Leadership

• Hands-on experience in GenAI architecture, including LLM integration, prompt engineering frameworks, retrieval-augmented generation (RAG), and enterprise adoption patterns
• Experience working with Azure OpenAI, Cognitive Services, Databricks, and AI/ML platforms
• Proven experience designing enterprise-scale, cloud-native and AI-powered solutions on Azure
• Strong command of microservices, API-first architecture, event-driven systems, and security frameworks
• Ability to define reference architectures, reusable frameworks, and best practices for scalable delivery

AI, Data & GenAI Integration

• Strong experience in designing AI/ML pipelines, MLOps, and real-time data processing architectures
• Expertise in GenAI implementations such as conversational AI, document intelligence, and intelligent automation
• Knowledge of vector databases, embeddings, and AI orchestration frameworks
• Ability to embed AI-driven decisioning and automation into business workflows

Solution Design & Governance

• Strong experience translating business requirements into scalable solution architectures
• Ownership of architecture governance, design reviews, and technical decision-making
• Ability to ensure scalability, performance, security, compliance, and reliability across solutions
• Experience in defining technology roadmaps, modernization strategies, and future-state architectures

Secondary Skill Set (Good to Have)

Architecture & Technical Leadership

• Deep architectural expertise in .NET, .NET Core, Angular, and Microsoft Azure ecosystem

Cloud & DevOps

• Strong familiarity with Azure DevOps, CI/CD pipelines, and Infrastructure as Code (ARM, Terraform, Bicep)
• Experience in cloud cost optimization, monitoring, reliability engineering, and observability frameworks

Advanced AI & Emerging Tech

• Exposure to Responsible AI, AI governance frameworks, and ethical AI practices
• Experience in multi-model AI architectures and AI orchestration strategies

Consulting & Leadership Skills

• Strong consulting mindset with ability to engage business stakeholders and drive solution adoption
• Experience mentoring budding architects, leads, and engineering teams
• Ability to influence technology strategy at enterprise and client levels