Lead Architect - Generative AI
Department: Information Technology
Reports to: Senior Manager - IT Infrastructure
Location: In Office , Boston MA, Orange CT
The base salary range for this position is dependent upon experience and location, ranging from: $125,766 - $164,354
Job Summary
The Lead Architect – Generative AI (Artificial Intelligence) 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 strong emphasis on infrastructure automation via Terraform.
Collaborating with data scientists, engineers, and business stakeholders, the architect integrates 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 machine learning frameworks, along with strong communication and mentoring skills.
Reporting to the Senior Manager – IT Infrastructure, this role drives ethical AI adoption and delivers transformative solutions that enhance efficiency, customer experience, and competitive edge.
Key Responsibilities
Proven ability to manage cross-functional teams, including data scientists, software engineers, and DevOps professionals.
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.
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 compliance with regulations like GDPR or CCPA.
Extensive experience with OpenAI APIs (e.g., GPT models, DALL·E, Whisper) and Amazon Bedrock for building and deploying generative AI solutions.
Proficiency in Python for AI/ML workflows, including libraries like TensorFlow, PyTorch, Hugging Face, and LangChain.
Experience with AWS (especially Bedrock, SageMaker, Lambda, and S3) and familiarity with other cloud providers like Azure or Google Cloud if needed.
Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and tools for model deployment (e.g., Docker, Kubernetes).
Preferred Qualifications
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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.
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.
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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.
Job Posting End Date:
August-5-2026