Senior Cloud, Data & AI Architect

Vaco; Hartford (CT); On-site; USD 140,000 - 180,000; Full time

Job summary

Vaco seeks a Senior Software Architect to lead the design and implementation of enterprise cloud, data, and AI solutions in the Hartford, CT area. You will shape scalable architectures, drive cloud migration, and develop AI/data platform capabilities while mentoring engineering teams.

The ideal candidate possesses a Bachelor's degree, 10+ years in software engineering with 5+ years in technical leadership, and deep expertise in Azure, C#, .NET, Python, SQL, and modern DevOps practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 10+ years of software engineering experience, including 5+ years in a senior architecture or technical leadership role.
• Strong experience with Microsoft Azure cloud services and enterprise architecture.
• Experience with AI, machine learning, cloud data platforms, and application modernization.
• Proficiency in C#, .NET, Python, SQL, and modern DevOps practices.

Responsibilities

• Design scalable, secure cloud and enterprise application architectures.
• Lead cloud migration and modernization initiatives.
• Develop AI and data platform solutions to support business operations.
• Establish architecture standards, governance, and best practices.
• Provide technical leadership, mentoring, and design guidance to engineering teams.
• Partner with cross-functional stakeholders to deliver enterprise technology solutions.
• Ensure applications meet security, compliance, and performance standards.
• Support software delivery through architecture reviews and technical oversight.

Skills

Enterprise architecture

Technical leadership

Mentoring

Cloud migration

Education

Bachelor's degree

Tools

Azure

C#

.NET

Python

SQL

DevOps

AI platforms

Job description

Vaco seeks a Senior Software Architect to lead the design and implementation of enterprise cloud, data, and AI solutions in the Hartford, CT area. You will shape scalable architectures, drive cloud migration, and develop AI/data platform capabilities while mentoring engineering teams.

The ideal candidate possesses a Bachelor's degree, 10+ years in software engineering with 5+ years in technical leadership, and deep expertise in Azure, C#, .NET, Python, SQL, and modern DevOps practices.