AI Architect
AI Architect
EMAGine- Posted a day ago
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Job Description
Summary: The position of Senior/Principal AI Solution Architect is pivotal in integrating enterprise AI architecture with Azure Cloud architecture, enabling the creation of secure and scalable AI solutions while aligning with business needs.
Responsibilities:
Responsibilities:
- Define target and transition architectures for AI, GenAI, and data-driven solutions.
- Design Azure-based architectures encompassing integration patterns, APIs, identity, networking, observability, and deployment.
- Define and validate non-functional requirements (NFRs) such as scalability, maintainability, security, and data protection.
- Lead architecture and design reviews, documenting Architecture Decision Records (ADRs).
- Guide engineering teams, identify technical risks, and maintain architecture traceability from requirements to implementation.
- Create reusable architecture patterns, reference architectures, and Enterprise AI standards.
- Provide deployment and operational architecture guidance.
- Profound knowledge of Microsoft Azure architecture.
- Expertise in Azure AI Foundry and Azure OpenAI.
- Experience with Microsoft Copilot Studio and GitHub Copilot.
- Familiarity with RAG architectures, vector/search patterns, and Agentic AI.
- Skills in enterprise API and integration architecture, emphasizing identity and networking security.
- Proficiency in DevOps concept, CI/CD, deployment patterns, and operational architecture practices.
- Understanding of Responsible AI and compliance with the EU AI Act.
- Experience with IBM ALM suite (RDNG, EWM, ETM).
- Azure Solutions Architect certification is highly advantageous.
- Familiarity with additional AI patterns and architectures.
- Experience in large-scale deployments of AI solutions.
- Knowledge of enterprise-level networking principles.
- Secondary certifications in architecture methodologies.
More Info
Key Skills
identity and networking security
enterprise API and integration architecture
RDNG
Microsoft Azure architecture
CI CD deployment patterns
Azure OpenAI
Azure AI Foundry
IBM ALM suite
GitHub Copilot
operational architecture practices
compliance with the EU AI Act
Responsible AI
Microsoft Copilot Studio
ETM
About Company
Skills:
snowflake , operational support , AWS, Ml, Application Architecture, Gcp, MLops, automation solutions, Databricks, Azure, LLMOps tooling, GenAI, agentic AI, GenAI LLMs, Google Gemini, vector databases, cloud data integration, responsible AI governance, AI data analytics, Security, Mistral, orchestration frameworks, Anthropic, RAG AI agents, enterprise AI platforms, OpenAI
Skills:
Databricks, Itsm, Java, Api Integration, React, Angular, Terraform, Azure DevOps, Microservices, Data Analytics, Kubernetes, Python, Cloud Architecture, Docker, Data Lakes, SaaS Platforms, Synapse Fabric, LLMOps, Product Modernization, RAG AI Agents, AWS Bedrock, GitHub Actions, Azure AI Foundry, Data Pipelines, Google Vertex AI, Generative AI
Skills:
Azure, Data Governance, Machine Learning, MLops, AWS, Enterprise Applications, Ai, cloud platforms, LLMOps, platform engineering, Production Operations, data platforms, observability, model evaluation, responsible AI
Skills:
Devops, MLops, Data Governance, Prototyping, Data Integration, Cloud Services, Software Engineering, responsible AI, Security, LLMOps, orchestration frameworks, AI solution architecture, AI models
Skills:
Generative AI - Basic, Workflow, Domain, Grc, Assurance, Conversational AI Platform, Technology, Communication Design, Governance Risk and Compliance, AI-Generative AI, Foundational, AI-Responsible AI, Design strategy for the respective domain, Responsible AI, Prompt Engineering, Governance_COBIT, Strategy, Audits