Lead Engineer - Cloud & Gen AI

Reports to: Senior Manager - IT Infrastructure
Location: In Office, Orange CT, Boston MA

The base salary range for this position is dependent upon experience and location, ranging from:

• $141,120 - $176,400 (Orange, CT)

• $147,520 - $184,400 (Boston, MA)

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  Designs, implements, and manages scalable cloud infrastructure solutions on AWS and Azure.

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  Collaborates with data scientists and AI researchers to deploy and optimize AI models.

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  Ensures the security, reliability, and performance of cloud-based AI systems.

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  Utilizes Terraform for infrastructure as Code (IaC) automation.

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  Provides technical leadership and mentorship to team members.

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  Remains current with advancements in AWS, Azure, and Generative AI.

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  Troubleshoots and resolves cloud infrastructure and AI model deployment issues.

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  Documents best practices, processes, and procedures.

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  Designs, implements, and manages scalable cloud infrastructure solutions on AWS and Azure to support Generative AI applications.

• 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.

• Demonstrated experience designing and implementing large scale complex network solutions.

• Three or more years of AI experience.

• Proven experience as a Cloud Engineer with a strong understanding of AWS and Azure cloud platforms.

• Proficiency in machine learning (ML) and AI models.

• Experience in Generative AI, including experience with frameworks such as TensorFlow, PyTorch, or similar.

• Proficiency in programming languages such as Python, Java, or .NET.

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

• Hands-on experience with Terraform for Infrastructure as Code (IaC).

• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

• Excellent communication and interpersonal skills.

• Demonstrated expertise in vector databases and their application within the GenAI framework.

• Desirable knowledge of AI Agents through orchestrators.

• Desirable knowledge of frameworks such as Langchain, Semantic Kernel, Spring AI.

• Five years of AI experience

• Certifications in AWS and Azure technologies (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).

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Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.

At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.
If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.

Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions.  This does not include those that will work for Avangrid Power.

Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee’s management.