Lead Architect - Generative AI

Iberdrola•Orange, CT

1d•$116,640 - $167,600•Onsite

About The Position

The Lead Architect - Generative AI leads the development of generative AI platforms and software solutions for Avangrid customers. The role combines strategic leadership, technical expertise, and operational oversight to shape secure, AI-driven digital operations. The Lead Architect owns the technical foundation for AI-native experiences, including the knowledge systems and decision logic that support reliable, scalable AI implementations across business functions. The position is based in an office in Orange, Connecticut; Rochester, New York; or Boston, Massachusetts. The listed base salary ranges vary by location: $116,640–$145,800 in Rochester, $128,320–$160,400 in Orange, and $134,080–$167,600 in Boston. The role reports to the Manager - Application Development.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline and 10+ years of professional experience, or a Master’s degree and 7+ years of experience.
5–7 years of experience in a senior engineering or technical leadership role.
Expertise in software development, using Agile DevOps practices for CI/CD.
Demonstrated track record of building and deploying AI-powered systems or workflow automation solutions in a production environment.

Nice To Haves

Experience with Generative AI and Large Language Models (LLMs).

Responsibilities

Lead the strategic direction for engineering and digital operations, aligning AI developments with business goals.
Design and optimize how AI agents reason, retrieve information, and act in production systems.
Architect AI agents’ connections to external enterprise systems, including authentication patterns, error handling, and data transformation standards.
Develop approaches to versioning, A/B testing, and performance evaluation to promote consistency and accuracy across AI scenarios.
Provide expert guidance on generative AI practices, advanced technologies, and emerging trends.
Oversee the design and implementation of AI solutions from ideation and data foundations through production deployment.
Establish technical guardrails and safety frameworks to prevent unintended AI behaviors and support regulatory compliance.
Implement observability capabilities that make AI system behavior measurable and actionable.
Lead technical-debt reduction while maintaining AI system reliability and stability during peak operational seasons.
Support configuration and deployment of automated workflows and AI-powered applications across the enterprise.
Partner with business unit leaders to understand pain points and translate them into scalable AI use cases.
Communicate AI strategy, technical progress, and business impact to executive leadership.