AI Architect
Cloudious LLC
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
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