Enterprise Application AI Architect
Evolutyz Corp.
Houston, TX, United States
6 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Microsoft Azure
Data Architecture
Github
Information Extraction
Knowledge Management
OpenAI
Gemini Enterprise (Agent Platform)
Azure Machine Learning
Software Engineering
Web Platforms
Azure Service Bus
+11 more
Google Cloud
Enterprise Software Applications
Microsoft Power Automate
Generative AI
Enterprise Integration
Cloud Migration
Azure Service Fabric
Api Design
Devsecops
Api Management
Microservices
Job description
We are seeking a skilled professional for a 6-month hybrid position located in Houston, TX. The role involves working 4 days onsite and 1 day remote per week, with an immediate start date. The candidate will be responsible for modernizing legacy applications, designing AI solutions, and establishing integration and data architectures., * 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.
- 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.
- 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.
- DevSecOps & Platform Engineering: Establish CI/CD pipelines using Azure DevOps and GitHub Actions.
- Embed security and compliance controls throughout the software development lifecycle.
Requirements
- 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.
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