AI Solution Architect

XIT SOLUTIONS INC.
Morton Township, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior
Compensation
$ 136K

Job location

Remote
Morton Township, United States of America

Tech stack

API
Artificial Intelligence
Applications Architecture
Application Integration Architecture
Azure
Cloud Computing
Cloud Engineering
Information Systems
DevOps
Middleware
Machine Learning
Systems Development Life Cycle
Azure
Service-Oriented Architecture
Software Engineering
Web Services
Azure
Delivery Pipeline
Backend
Information Technology
Data Management
Front End Software Development
Api Design
Api Management
Microservices

Requirements

Do you have experience in Web services design?, Do you have a Bachelor's degree?, Required - Bachelor of Science in Information Systems, Computer Science, Data Science, or related field

Preferred - Certifications in Azure, AI/ML, or cloud architecture Continued education in AI, data platforms, or emerging technologies

Experience Required · 10+ years of experience in solution architecture, application development, or related roles · Proven experience designing end-to-end application architectures, including front-end, middleware/API, and backend systems · Strong experience with cloud platforms, preferably Microsoft Azure (e.g., App Services, Functions, API Management, Azure AI services) · Deep understanding of application architecture patterns, including: o Microservices and service-oriented architecture o API-first design and integration patterns o Event-driven and asynchronous processing models · Experience designing scalable, secure, and high-performing applications in enterprise environments · Strong experience integrating applications with: o Data platforms (e.g., EDH, Fabric, Azure data services) o External/internal APIs and third-party systems · Experience designing and delivering AI-enabled application solutions, including integration of AI/ML capabilities into business workflows · Solid understanding of software development lifecycle (SDLC), DevOps practices, and deployment pipelines

Preferred · Insurance industry experience

Benefits & conditions

Pulled from the full job description

  • Flexible schedule, * Flexible schedule

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