Generative Ai Project Manager Jobs in Connecticut

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

• 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

• 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, 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

• Master's degree in a related field.

• Experience with other cloud platforms and AI tools.

• Knowledge of machine learning frameworks and libraries.

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