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GCP GenAI Architect / Lea
GCP GenAI Architect / LeaPurple Drive • Boston, MA, United States
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GCP GenAI Architect / Lea

GCP GenAI Architect / Lea

Purple Drive • Boston, MA, United States
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  • [job_card.full_time]
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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

  • Bachelor's or Master's 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.
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