GCP GenAI ArchitectLead

Boston, NH - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Description:

We are seeking a seasoned and forward-thinking Generative AI Lead to drive our AI initiatives. The ideal candidate will possess extensive expertise in generative AI technologies exceptional leadership abilities and a demonstrated history of successfully delivering scalable AI this role you will lead a team of GenAI developers in designing developing and deploying cutting-edge generative AI models and applications that create significant business impact.

Lead the complete development and deployment lifecycle of generative AI solutions on GCP ensuring they align with business objectives and technical requirements.
Develop and define the AI strategy and roadmap emphasizing generative AI capabilities and their seamless integration into products and services.
Supervise the design fine-tuning and optimization of large language models (LLMs) and other generative AI models across various applications.
Manage and mentor a diverse team of AI developers and engineers promoting a culture of collaboration and innovation.
Work closely with cross-functional teams - engineering and business stakeholders to translate requirements into effective AI solutions.
Uphold best practices in AI ethics data privacy and model governance throughout the AI development lifecycle.
Lead research and innovation efforts by keeping current with the latest developments in generative AI multimodal models and AI agents.
Implement containerization and orchestration strategies using Docker and Kubernetes (GKE) for reliable deployment.
Establish security frameworks using Azure Identity GCP IAM and other tools to ensure restricted and compliant access to AI systems.
Monitor AI model performance in production drive continuous improvement initiatives and manage risks associated with AI outputs.
Effectively communicate AI concepts project progress and business impact to both technical and non-technical audiences including executive leadership.
Knowledge of Cloud Storage Cloud SQL Cloud Spanner Firestore and Bigtable including their use cases and configurations.
Knowledge of real-time messaging and event-driven architectures like pub/sub.
Familiarity with Cloud Functions Cloud Run and App Engine and how to deploy and manage serverless applications.
Familiarity with Google Clouds Operations Suite including Monitoring Logging Trace Debugger and Error Reporting to ensure system reliability and performance.

Job Description: We are seeking a seasoned and forward-thinking Generative AI Lead to drive our AI initiatives. The ideal candidate will possess extensive expertise in generative AI technologies exceptional leadership abilities and a demonstrated history of successfully delivering scalable AI this ...

Job Description:

Lead the complete development and deployment lifecycle of generative AI solutions on GCP ensuring they align with business objectives and technical requirements.
Develop and define the AI strategy and roadmap emphasizing generative AI capabilities and their seamless integration into products and services.
Supervise the design fine-tuning and optimization of large language models (LLMs) and other generative AI models across various applications.
Manage and mentor a diverse team of AI developers and engineers promoting a culture of collaboration and innovation.
Work closely with cross-functional teams - engineering and business stakeholders to translate requirements into effective AI solutions.
Uphold best practices in AI ethics data privacy and model governance throughout the AI development lifecycle.
Lead research and innovation efforts by keeping current with the latest developments in generative AI multimodal models and AI agents.
Implement containerization and orchestration strategies using Docker and Kubernetes (GKE) for reliable deployment.
Establish security frameworks using Azure Identity GCP IAM and other tools to ensure restricted and compliant access to AI systems.
Monitor AI model performance in production drive continuous improvement initiatives and manage risks associated with AI outputs.
Effectively communicate AI concepts project progress and business impact to both technical and non-technical audiences including executive leadership.
Knowledge of Cloud Storage Cloud SQL Cloud Spanner Firestore and Bigtable including their use cases and configurations.
Knowledge of real-time messaging and event-driven architectures like pub/sub.
Familiarity with Cloud Functions Cloud Run and App Engine and how to deploy and manage serverless applications.
Familiarity with Google Clouds Operations Suite including Monitoring Logging Trace Debugger and Error Reporting to ensure system reliability and performance.