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Avangrid
AI

Lead Architect - Generative AI

Avangrid · Boston, MA, US · $125k - $164k

Actively hiring Posted 7 months ago

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 drive 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.

Basic 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 compliance with regulations like GDPR or CCPA.
  • Awareness of the latest advancements in generative AI, LLMs (Large Language Models), and multi-modal models.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.
  • Extensive experience with OpenAI APIs (e.g., GPT models, DALL·E, Whisper) 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, including 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 (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).
  • 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.
  • Growth & Continuous Improvement
  • Initiative & Change
  • Focused on Results
  • Customer Centric (internal and/or External)
  • Communication
  • Collaboration
  • Leadership (people managers/leaders)

Tags & focus areas

Used for matching and alerts on DevFound
Ai Machine Learning Data Science Nlp Generative Ai Pytorch Tensorflow
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