RandomTrees
Gen AI Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Lead with a contract length of "unknown," offering a pay rate of "unknown." It requires expertise in GCP, AI strategy, and healthcare domain data, emphasizing leadership, data governance, and compliance skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Scala #GCP (Google Cloud Platform) #Strategy #Cloud #Compliance #Data Governance #Data Science #AI (Artificial Intelligence) #Security #Leadership #Automation
Role description
• Lead the end-to-end design and development of GenAI solutions using GCP services, Vertex AI, Gemini, and related GenAI tools.
• Own solution architecture, model integration patterns, and technical strategy for AI initiatives.
• Work closely with client stakeholders, data science teams, and cloud engineering teams to translate requirements into scalable GenAI implementations.
• Provide technical leadership and mentorship to AI developers and engineers on the team.
• Review and enhance prompt engineering strategies, RAG pipelines, and model orchestration workflows.
• Ensure code quality, automation, CI/CD integration, and operational excellence for GenAI services.
• Stay current on Google Cloud AI advances and guide their adoption.
• Familiarity with healthcare payer domain data (claims, prior auth, clinical data) is preferred.
• Strong understanding of data governance, model security, and compliance requirements for healthcare.
• Lead the end-to-end design and development of GenAI solutions using GCP services, Vertex AI, Gemini, and related GenAI tools.
• Own solution architecture, model integration patterns, and technical strategy for AI initiatives.
• Work closely with client stakeholders, data science teams, and cloud engineering teams to translate requirements into scalable GenAI implementations.
• Provide technical leadership and mentorship to AI developers and engineers on the team.
• Review and enhance prompt engineering strategies, RAG pipelines, and model orchestration workflows.
• Ensure code quality, automation, CI/CD integration, and operational excellence for GenAI services.
• Stay current on Google Cloud AI advances and guide their adoption.
• Familiarity with healthcare payer domain data (claims, prior auth, clinical data) is preferred.
• Strong understanding of data governance, model security, and compliance requirements for healthcare.
