Lead Architect - Generative AI at Avangrid in Orange, CT | USD125,766-164,354 | Kablio

Role

Description

technical leadership

stakeholder communication

ai architecture

iac terraform

model optimization

agile tools

Provides technical leadership and mentorship to junior team members.
Effectively communicates to bridge technical and non-technical stakeholders, including executives, product managers, and clients.
Aligns AI initiatives with business goals and drive innovation through generative AI technologies.
Designs and develops AI architectures and solutions using AWS and Azure.
Implements infrastructure as code using Terraform.
Optimizes AI models for performance and scalability.
Provides agile methodologies (Scrum, Kanban) and tools like Jira or Trello for project tracking.
Collaborates with cross-functional teams to integrate AI capabilities into existing systems.

Requirements

python

tensorflow

docker

aws

master's

problem-solving

Knowledge of machine learning frameworks and libraries.
Problem-solves to address technical challenges and ensure timely delivery of projects.
Extensive experience with OpenAI APIs (e.g., GPT models, DALL·E, Whisper) and Amazon Bedrock for building and deploying generative AI solutions.
Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and tools for model deployment (e.g., Docker, Kubernetes).
Excellent problem-solving skills and attention to detail.
Awareness of the latest advancements in generative AI, LLMs (Large Language Models), and multi-modal models.
Experience with Terraform for infrastructure automation.
Proficiency in programming languages such as Python, Java, C++, and Net.
Remains up to date with the latest advancements in AI and cloud technologies.
Familiarity with use cases such as natural language processing (NLP), content generation, chatbots, code generation, and image synthesis.
Strong command of Java for backend development, microservices, or integrating AI models into enterprise systems.
Expertise in designing and integrating RESTful APIs and GraphQL for AI model consumption.
Master's degree in a related field.
Relevant experience with Application Development, Architecture or IT.
Experience with AWS (especially Bedrock, SageMaker, Lambda, and S3) and familiarity with other cloud providers like Azure or Google Cloud if needed.
Familiarity with fine-tuning, prompt engineering, and managing model outputs for scalability and accuracy.
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.
Proficiency in Python for AI/ML workflows, including libraries like TensorFlow, PyTorch, Hugging Face, and LangChain.
Strong communication and teamwork abilities.
Proven ability to manage cross-functional teams, including data scientists, software engineers, and DevOps professionals.
Experience with other cloud platforms and AI tools.
Knowledge of ethical considerations in AI, including bias mitigation, fairness, and compliance with regulations like GDPR or CCPA.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

47 Billion

Assets Under Management

Total value of company assets across all operations.

3.3M+ Customers

Electric & Gas Users

Over 3.3 million customers served across New York and New England.

10.0 GW

Power Generation Capacity

Combined electricity output from owned and operated facilities.

Born in 2015 from a merger with UIL Holdings, creating a national powerhouse from regional utilities.
Headquartered in Orange, Connecticut, with operations in 24 U.S. states.
Its utilities arm manages eight electric and natural gas systems.
Projects include onshore wind, solar, biomass, thermal plants, and grid upgrades.
Fully acquired by Iberdrola in late 2024, enhancing investment potential.
Key ventures include the nation's largest offshore wind project and the Maine Power upgrade.
Combines local legacy with large-scale clean energy ambition.

Culture + Values

Sustainable: We seek to be a model of inspiration for creating economic, social and environmental value in our communities and we act positively to affect local development, generate employment, and give back to the community.
Agile: We act efficiently and with passion to drive innovation and continuous improvement at both the local and global level.
Collaborative: We work together toward a common purpose and mutual benefit while valuing each other and our differences.

Environment + Sustainability

By 2030

Carbon Neutrality Target

The company aims to achieve carbon neutrality for Scopes 1 and 2.

9.3 GW

Emissions-Free Capacity

Installed capacity in wind and solar energy.

10 GW

Energy Goal

Target to generate 10 GW of emissions-free energy capacity by 2025.

70%

Emissions Reduction Goal

Aim to reduce emissions intensity by 70% by 2030 compared to 2015 levels.

One of the country’s cleanest utilities.
Compliance Leader Verification certification by Ethisphere Institute for third consecutive term.

Inclusion & Diversity

2024

Forbes Recognition

Recognized as one of Forbes America’s Best Employers for Diversity in the 2024 ranking.

300M Spend

Supplier Diversity Goal

Aim to increase spend with certified diverse suppliers to $300 million by 2025, up from $195 million in 2022.

DEI strategy focus areas: increasing diverse representation (especially in leadership), promoting equitable growth opportunities, establishing pathways for community and connection.

Articles

Careers at Avangrid

Sustainability

Innovation and Technology

Projects

Role

Description

technical leadership

stakeholder communication

ai architecture

iac terraform

model optimization

agile tools

Provides technical leadership and mentorship to junior team members.
Effectively communicates to bridge technical and non-technical stakeholders, including executives, product managers, and clients.
Aligns AI initiatives with business goals and drive innovation through generative AI technologies.
Designs and develops AI architectures and solutions using AWS and Azure.
Implements infrastructure as code using Terraform.
Optimizes AI models for performance and scalability.
Provides agile methodologies (Scrum, Kanban) and tools like Jira or Trello for project tracking.
Collaborates with cross-functional teams to integrate AI capabilities into existing systems.

Requirements

python

tensorflow

docker

aws

master's

problem-solving

Knowledge of machine learning frameworks and libraries.
Problem-solves to address technical challenges and ensure timely delivery of projects.
Extensive experience with OpenAI APIs (e.g., GPT models, DALL·E, Whisper) and Amazon Bedrock for building and deploying generative AI solutions.
Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and tools for model deployment (e.g., Docker, Kubernetes).
Excellent problem-solving skills and attention to detail.
Awareness of the latest advancements in generative AI, LLMs (Large Language Models), and multi-modal models.
Experience with Terraform for infrastructure automation.
Proficiency in programming languages such as Python, Java, C++, and Net.
Remains up to date with the latest advancements in AI and cloud technologies.
Familiarity with use cases such as natural language processing (NLP), content generation, chatbots, code generation, and image synthesis.
Strong command of Java for backend development, microservices, or integrating AI models into enterprise systems.
Expertise in designing and integrating RESTful APIs and GraphQL for AI model consumption.
Master's degree in a related field.
Relevant experience with Application Development, Architecture or IT.
Experience with AWS (especially Bedrock, SageMaker, Lambda, and S3) and familiarity with other cloud providers like Azure or Google Cloud if needed.
Familiarity with fine-tuning, prompt engineering, and managing model outputs for scalability and accuracy.
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.
Proficiency in Python for AI/ML workflows, including libraries like TensorFlow, PyTorch, Hugging Face, and LangChain.
Strong communication and teamwork abilities.
Proven ability to manage cross-functional teams, including data scientists, software engineers, and DevOps professionals.
Experience with other cloud platforms and AI tools.
Knowledge of ethical considerations in AI, including bias mitigation, fairness, and compliance with regulations like GDPR or CCPA.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

47 Billion

Assets Under Management

Total value of company assets across all operations.

3.3M+ Customers

Electric & Gas Users

Over 3.3 million customers served across New York and New England.

10.0 GW

Power Generation Capacity

Combined electricity output from owned and operated facilities.

Born in 2015 from a merger with UIL Holdings, creating a national powerhouse from regional utilities.
Headquartered in Orange, Connecticut, with operations in 24 U.S. states.
Its utilities arm manages eight electric and natural gas systems.
Projects include onshore wind, solar, biomass, thermal plants, and grid upgrades.
Fully acquired by Iberdrola in late 2024, enhancing investment potential.
Key ventures include the nation's largest offshore wind project and the Maine Power upgrade.
Combines local legacy with large-scale clean energy ambition.

Culture + Values

Sustainable: We seek to be a model of inspiration for creating economic, social and environmental value in our communities and we act positively to affect local development, generate employment, and give back to the community.
Agile: We act efficiently and with passion to drive innovation and continuous improvement at both the local and global level.
Collaborative: We work together toward a common purpose and mutual benefit while valuing each other and our differences.

Environment + Sustainability

By 2030

Carbon Neutrality Target

The company aims to achieve carbon neutrality for Scopes 1 and 2.

9.3 GW

Emissions-Free Capacity

Installed capacity in wind and solar energy.

10 GW

Energy Goal

Target to generate 10 GW of emissions-free energy capacity by 2025.

70%

Emissions Reduction Goal

Aim to reduce emissions intensity by 70% by 2030 compared to 2015 levels.

One of the country’s cleanest utilities.
Compliance Leader Verification certification by Ethisphere Institute for third consecutive term.

Inclusion & Diversity

2024

Forbes Recognition

Recognized as one of Forbes America’s Best Employers for Diversity in the 2024 ranking.

300M Spend

Supplier Diversity Goal

Aim to increase spend with certified diverse suppliers to $300 million by 2025, up from $195 million in 2022.

DEI strategy focus areas: increasing diverse representation (especially in leadership), promoting equitable growth opportunities, establishing pathways for community and connection.

Articles

Careers at Avangrid

Sustainability

Innovation and Technology

Projects