Software Engineer
This role requires collaboration with data scientists and AI researchers to deploy and optimize AI models, ensuring the security, reliability, and performance of cloud-based AI systems.
Lead Engineer - Cloud & Gen AI
Reports to: Senior Manager - IT Infrastructure Location: In Office , Orange CT
The base salary range for this position is dependent upon experience and location, ranging from:
$141,120 - $176,400
What We Offer:
For more information, please visit: Benefits - Avangrid
Job Summary
The Lead Engineer, Cloud and Generative AI (Artificial Intelligence) is the Subject Matter Expert (SME) with designing, implementing, and managing scalable cloud infrastructure solutions on AWS and Azure to support cutting-edge Generative AI applications. This role requires collaboration with data scientists and AI researchers to deploy and optimize AI models, ensuring the security, reliability, and performance of cloud-based AI systems. The incumbent will utilize Infrastructure as Code (IaC) tools, such as Terraform, to automate cloud infrastructure provisioning and management.
The Lead Engineer, Cloud and Generative AI will provide technical leadership, and mentorship will guide team members on cloud and AI-related projects, while problem-solving skills to troubleshoot and resolve issues related to cloud infrastructure and AI model deployment. This role is expected to remain up to date with the latest advancements in AWS, Azure, and Generative AI, you will apply this knowledge to continuously improve our systems. Your documentation of best practices, processes, and procedures will ensure smooth cloud and AI operations.
This role will report into the Senior Manager – IT Infrastructure.
Key Responsibilities
Designs, implements, and manages scalable cloud infrastructure solutions on AWS and Azure.
Collaborates with data scientists and AI researchers to deploy and optimize AI models.
Ensures the security, reliability, and performance of cloud-based AI systems.
Utilizes Terraform for infrastructure as Code (IaC) automation.
Provides technical leadership and mentorship to team members.
Remains current with advancements in AWS, Azure, and Generative AI.
Troubleshoots and resolves cloud infrastructure and AI model deployment issues.
Documents best practices, processes, and procedures.
Designs, implements, and manages scalable cloud infrastructure solutions on AWS and Azure to support Generative AI applications.
Required Qualifications
Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field and a minimum of 10 years of relevant experience. An equivalent combination of education and experience may be considered.
Posted July 24, 2026