Need AI Architect IV: Hybrid
Resource Consulting Services
- Job
- 37809
- Posted
- Location
- Houston, TX
- Work type
- Contract
- Tax terms
- C2C
- Experience
- Experience open
- Openings
- 1 opening
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Skills
- Architecture
- Terraform
- Generative AI
- DevSecOps
- Google Cloud
- Microsoft Azure
- Governance
- GitHub
- Systems Integration
- Azure Data Factory
- Microservices
- Data Architecture
- Artificial Intelligence
- Reliability Engineering
- Cloud Migration
- Cosmos DB
- Reliability
- Software Engineering
- SQL Azure
- Enterprise Software Applications
About the job
Role: AI Architect IV
Location: Downtown Houston, TX (Hybrid)
Duration: 12+ month
Job Description
Key Responsibilities
- Application Modernization & Cloud Transformation
- Assess and modernize legacy applications using cloud-native architecture patterns.
- Design and implement scalable solutions using Azure PaaS services and Gemini Enterprise for CX
- Lead migration of on-premises applications and services to Microsoft Azure.
- Transform monolithic applications into microservices and API-driven architectures.
- Develop modernization roadmaps aligned to business goals and customer experience objectives.
- Establish architectural standards, governance, security, and operational best practices.
- Experience with Azure and Google Cloud Platform Cloud Platforms
- Architect resilient, scalable, and highly available solutions on Azure.
- Design enterprise cloud platforms leveraging Azure App Services, AKS, Azure Functions, API Management, Azure SQL, Cosmos DB, and Integration Services.
- Implement Infrastructure as Code using Terraform and Bicep.
- Drive cloud adoption strategies focused on reliability, security, cost optimization, and performance.
AI & Generative AI Solutions
- Design and implement AI-enabled business capabilities using Gemini Enterprise for CX, Azure AI Services and Azure OpenAI.
- Develop Generative AI solutions including enterprise copilots, intelligent assistants, document intelligence, and knowledge management systems.
- Leverage Azure AI Search, vector databases, Semantic Kernel, and Retrieval-Augmented Generation (RAG) architectures.
- Establish AI governance, responsible AI frameworks, security controls, and monitoring standards.
- Identify opportunities to improve customer and employee experiences through AI-powered automation and insights.
Integration & Data Architecture
- Design enterprise integration solutions using Azure API Management, Logic Apps, Service Bus, Event Grid, and Event Hubs.
- Enable hybrid connectivity between on-premises and cloud platforms.
- Architect real-time and batch synchronization solutions across enterprise applications.
- Design modern data architectures leveraging Azure SQL, Cosmos DB, Microsoft Fabric, Azure Synapse, and Azure Data Factory.
DevSecOps & Platform Engineering
- Establish CI/CD pipelines using Azure DevOps and GitHub Actions.
- Embed security and compliance controls throughout the software development lifecycle.
- Implement monitoring and observability solutions using Azure Monitor, Log Analytics, and Application Insights.
- Promote DevSecOps, SRE, and platform engineering best practices.
Required Qualifications Experience
- 10+ years of experience in software engineering, architecture, and enterprise application delivery.
- 5+ years of hands-on Azure/Google cloud architecture experience.
- 3+ years of experience designing and implementing AI/Generative AI solutions.
- Proven success leading large-scale application modernization and cloud transformation initiatives.
- Experience delivering customer-facing digital platforms and enterprise integration solutions