GCP GenAI Architect Lea

Boston, NH - USA

Monthly Salary: Not Disclosed

Posted on: 27 days ago

Vacancies: 1 Vacancy

Job Summary

Position: GCP GenAI Architect / Lead
Location: Boston MA (Onsite)
Employment Type: C2C / Contract
Experience: 10 Years

Job Description

We are seeking a seasoned and forward-thinking Generative AI Lead to drive enterprise-level AI initiatives on Google Cloud Platform (GCP). The ideal candidate will bring deep expertise in Generative AI technologies strong leadership capabilities and a proven track record in architecting and deploying scalable AI solutions that deliver measurable business impact.

As the GCP GenAI Architect/Lead you will spearhead the design development and implementation of generative AI systems mentor cross-functional AI teams and ensure that AI-driven innovation aligns with organizational strategy compliance and performance goals.

Key Responsibilities

Lead end-to-end design development and deployment of Generative AI models and applications on GCP.
Define and implement a comprehensive AI strategy and roadmap focusing on integrating GenAI capabilities into business products and services.
Architect fine-tune and optimize Large Language Models (LLMs) and multimodal generative AI systems.
Lead and mentor a team of AI developers and engineers fostering innovation knowledge sharing and collaboration.
Collaborate closely with product engineering and business stakeholders to translate requirements into practical and impactful AI solutions.
Ensure adherence to AI ethics data privacy and model governance best practices across the AI lifecycle.
Research and incorporate the latest advancements in Generative AI LLMs multimodal models and AI agents.
Design secure scalable AI architectures using Docker Kubernetes (GKE) and GCP IAM.
Monitor model performance implement CI/CD pipelines for AI workflows and drive continuous model improvement.
Communicate AI project status impact and technical concepts effectively to both executive and technical audiences.

Required Technical Skills

GCP Expertise: Cloud Storage Cloud SQL Cloud Spanner Firestore Bigtable Cloud Functions Cloud Run App Engine.
AI/ML Expertise: Experience with LLMs fine-tuning and deployment on cloud-native environments.
Containerization & Orchestration: Hands-on experience with Docker and Kubernetes (GKE).
Security & Governance: Strong knowledge of Azure Identity GCP IAM and data access control frameworks.
DevOps & Monitoring: Familiarity with GCP Operations Suite (Monitoring Logging Trace Debugger Error Reporting).
Architecture: Experience in event-driven systems using Pub/Sub and other real-time messaging tools.

Qualifications

Bachelors or Masters in Computer Science Data Science or a related field.
10 years of IT experience with at least 4 years in AI/ML and GenAI-focused roles.
Proven experience leading enterprise-grade AI and cloud transformation projects.
Strong interpersonal leadership and communication skills.

Position: GCP GenAI Architect / LeadLocation: Boston MA (Onsite)Employment Type: C2C / ContractExperience: 10 Years Job Description We are seeking a seasoned and forward-thinking Generative AI Lead to drive enterprise-level AI initiatives on Google Cloud Platform (GCP). The ideal candidate will brin...

Position: GCP GenAI Architect / Lead
Location: Boston MA (Onsite)
Employment Type: C2C / Contract
Experience: 10 Years

Job Description

Key Responsibilities

Lead end-to-end design development and deployment of Generative AI models and applications on GCP.
Define and implement a comprehensive AI strategy and roadmap focusing on integrating GenAI capabilities into business products and services.
Architect fine-tune and optimize Large Language Models (LLMs) and multimodal generative AI systems.
Lead and mentor a team of AI developers and engineers fostering innovation knowledge sharing and collaboration.
Collaborate closely with product engineering and business stakeholders to translate requirements into practical and impactful AI solutions.
Ensure adherence to AI ethics data privacy and model governance best practices across the AI lifecycle.
Research and incorporate the latest advancements in Generative AI LLMs multimodal models and AI agents.
Design secure scalable AI architectures using Docker Kubernetes (GKE) and GCP IAM.
Monitor model performance implement CI/CD pipelines for AI workflows and drive continuous model improvement.
Communicate AI project status impact and technical concepts effectively to both executive and technical audiences.

Required Technical Skills

GCP Expertise: Cloud Storage Cloud SQL Cloud Spanner Firestore Bigtable Cloud Functions Cloud Run App Engine.
AI/ML Expertise: Experience with LLMs fine-tuning and deployment on cloud-native environments.
Containerization & Orchestration: Hands-on experience with Docker and Kubernetes (GKE).
Security & Governance: Strong knowledge of Azure Identity GCP IAM and data access control frameworks.
DevOps & Monitoring: Familiarity with GCP Operations Suite (Monitoring Logging Trace Debugger Error Reporting).
Architecture: Experience in event-driven systems using Pub/Sub and other real-time messaging tools.

Qualifications

Bachelors or Masters in Computer Science Data Science or a related field.
10 years of IT experience with at least 4 years in AI/ML and GenAI-focused roles.
Proven experience leading enterprise-grade AI and cloud transformation projects.
Strong interpersonal leadership and communication skills.