Avangrid
Overview
Lead Architect – Generative AI at Avangrid. Location: In Office, Boston MA, Orange CT. Department: Information Technology. Reports to: Senior Manager - IT Infrastructure. The base salary range varies by experience and location, ranging from $125,766 to $164,354.
The Lead Architect – Generative AI is a senior technical leader responsible for shaping the organization's AI strategy and delivering innovative solutions using generative AI technologies. This role focuses on architecting scalable, secure, and high-performance AI systems across AWS and Azure, with emphasis on infrastructure automation via Terraform. The architect collaborates with data scientists, engineers, and business stakeholders to integrate generative AI—such as LLMs, NLP, image synthesis, and code generation—into enterprise platforms. The ideal candidate brings deep expertise in cloud-native AI services, software architecture, and ML frameworks, along with strong communication and mentoring skills. This role drives ethical AI adoption and delivers transformative solutions that enhance efficiency, customer experience, and competitive edge.
Key Responsibilities
Designs and develops AI architectures and solutions using AWS and Azure.
Collaborates with cross-functional teams to integrate AI capabilities into existing systems.
Optimizes AI models for performance and scalability.
Implements infrastructure as code using Terraform.
Remains up to date with the latest advancements in AI and cloud technologies.
Provides technical leadership and mentorship to junior team members.
Proven ability to manage cross-functional teams, including data scientists, software engineers, and DevOps professionals.
Provides agile methodologies (Scrum, Kanban) and tools like Jira or Trello for project tracking.
Aligns AI initiatives with business goals and drives innovation through generative AI technologies.
Problem-solves to address technical challenges and ensure timely delivery of projects.
Effectively communicates to bridge technical and non-technical stakeholders, including executives, product managers, and clients.
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.
Relevant experience with Application Development, Architecture or IT.
Experience with Terraform for infrastructure automation.
Proficiency in programming languages such as Python, Java, C++, and .NET.
Familiarity with use cases such as natural language processing (NLP), content generation, chatbots, code generation, and image synthesis.
Knowledge of ethical considerations in AI, including bias mitigation, fairness, and regulatory compliance (GDPR or CCPA).
Awareness of the latest advancements in generative AI, LLMs, and multi-modal models.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork abilities.
Extensive experience with OpenAI APIs and Amazon Bedrock for building and deploying generative AI solutions.
Familiarity with fine-tuning, prompt engineering, and managing model outputs for scalability and accuracy.
Proficiency in Python for AI/ML workflows with libraries like TensorFlow, PyTorch, Hugging Face, and LangChain.
Strong command of Java for backend development, microservices, or integrating AI models into enterprise systems.
Experience with AWS (Bedrock, SageMaker, Lambda, S3) and familiarity with Azure or Google Cloud as needed.
Hands-on experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch) and deployment tools (Docker, Kubernetes).
Expertise in designing and integrating RESTful APIs and GraphQL for AI model consumption.
Preferred Qualifications
Master's degree in a related field.
Experience with other cloud platforms and AI tools.
Knowledge of machine learning frameworks and libraries.
Company AVANGRID MANAGEMENT COMPANY, LLC.
Mobility Information 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. Avangrid provides 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, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.
Avangrid employees may be assigned certain system emergency and compliance roles depending on location and business area, including CIP and O&P responsibilities. Details will be communicated by management.
Job Posting End Date December-31-2025
#J-18808-Ljbffr
The Lead Architect – Generative AI is a senior technical leader responsible for shaping the organization's AI strategy and delivering innovative solutions using generative AI technologies. This role focuses on architecting scalable, secure, and high-performance AI systems across AWS and Azure, with emphasis on infrastructure automation via Terraform. The architect collaborates with data scientists, engineers, and business stakeholders to integrate generative AI—such as LLMs, NLP, image synthesis, and code generation—into enterprise platforms. The ideal candidate brings deep expertise in cloud-native AI services, software architecture, and ML frameworks, along with strong communication and mentoring skills. This role drives ethical AI adoption and delivers transformative solutions that enhance efficiency, customer experience, and competitive edge.
Key Responsibilities
Designs and develops AI architectures and solutions using AWS and Azure.
Collaborates with cross-functional teams to integrate AI capabilities into existing systems.
Optimizes AI models for performance and scalability.
Implements infrastructure as code using Terraform.
Remains up to date with the latest advancements in AI and cloud technologies.
Provides technical leadership and mentorship to junior team members.
Proven ability to manage cross-functional teams, including data scientists, software engineers, and DevOps professionals.
Provides agile methodologies (Scrum, Kanban) and tools like Jira or Trello for project tracking.
Aligns AI initiatives with business goals and drives innovation through generative AI technologies.
Problem-solves to address technical challenges and ensure timely delivery of projects.
Effectively communicates to bridge technical and non-technical stakeholders, including executives, product managers, and clients.
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.
Relevant experience with Application Development, Architecture or IT.
Experience with Terraform for infrastructure automation.
Proficiency in programming languages such as Python, Java, C++, and .NET.
Familiarity with use cases such as natural language processing (NLP), content generation, chatbots, code generation, and image synthesis.
Knowledge of ethical considerations in AI, including bias mitigation, fairness, and regulatory compliance (GDPR or CCPA).
Awareness of the latest advancements in generative AI, LLMs, and multi-modal models.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork abilities.
Extensive experience with OpenAI APIs and Amazon Bedrock for building and deploying generative AI solutions.
Familiarity with fine-tuning, prompt engineering, and managing model outputs for scalability and accuracy.
Proficiency in Python for AI/ML workflows with libraries like TensorFlow, PyTorch, Hugging Face, and LangChain.
Strong command of Java for backend development, microservices, or integrating AI models into enterprise systems.
Experience with AWS (Bedrock, SageMaker, Lambda, S3) and familiarity with Azure or Google Cloud as needed.
Hands-on experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch) and deployment tools (Docker, Kubernetes).
Expertise in designing and integrating RESTful APIs and GraphQL for AI model consumption.
Preferred Qualifications
Master's degree in a related field.
Experience with other cloud platforms and AI tools.
Knowledge of machine learning frameworks and libraries.
Company AVANGRID MANAGEMENT COMPANY, LLC.
Mobility Information 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. Avangrid provides 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, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.
Avangrid employees may be assigned certain system emergency and compliance roles depending on location and business area, including CIP and O&P responsibilities. Details will be communicated by management.
Job Posting End Date December-31-2025
#J-18808-Ljbffr