Apply on Employer Site

Iberdrola · 2 months ago

Lead Architect - Generative AI

CT - Orange - 180 Marsh Hill Rd

Full-time

Onsite

Senior Level, Lead/Staff

$126K/yr - $164K/yr

10+ years exp

Iberdrola is seeking a Lead Architect – Generative AI to shape their AI strategy and deliver innovative solutions using generative AI technologies. This role involves architecting scalable AI systems across AWS and Azure, collaborating with cross-functional teams, and providing technical leadership to enhance efficiency and customer experience.

EnergyHydroelectricRenewable EnergySustainability

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

Qualification

Generative AICloud-native AI servicesInfrastructure automationMachine learning frameworksPythonAWSTerraformOpenAI APIsRESTful APIsCommunicationCollaborationLeadershipProblem-solving

Required

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