Lead Architect Generative AI

Lead Architect - Generative AI

Department: Information Technology

Reports to: Senior Manager - IT Infrastructure
Location: In OfficeBoston MA Orange CT

The base salary range for this position is dependent upon experience and location ranging from: $125766 - $164354

Job Summary

The Lead Architect Generative AI (Artificial Intelligence) is a senior technical leader responsible for shaping the organizations 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 AIsuch as LLMs NLP image synthesis and code generationinto 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

• 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.

Required Qualifications

• Bachelors 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 DALLE 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

• Masters degree in a related field.

• Experience with other cloud platforms and AI tools.

• Knowledge of machine learning frameworks and libraries.

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