Role : Agentic Platform Manager
Location : New York NY 10019 (Need local candidates/Hybrid)
Detailed JD:
strategic technical leadership role focused on designing deploying and managing enterprise-grade AI agent systems utilizing Google Cloud Platform (GCP) technologies primarily Vertex AI. This role bridges the gap between AI research/data science and operational IT ensuring that autonomous multi-agent workflows are secure scalable and compliant in high-stakes or regulated environments.
Core Responsibilities
Platform Strategy & Architecture: Define the technical roadmap architecture and design patterns for agentic systems using Vertex AI including Gemini models Agent Builder and BigQuery.
Agent Development & Deployment: Lead the end-to-end lifecycle of intelligent agents focusing on RAG (Retrieval-Augmented Generation) architectures tool execution multi-agent orchestration and autonomous decision-making.
Governance & Security: Establish guardrails auditability and traceability for AI systems ensuring compliance with regulatory standards (e.g. in utility finance) and managing human-in-the-loop fallbacks.
Infrastructure & DevOps: Manage GCP infrastructure using Infrastructure as Code (Terraform) CI/CD pipelines and Kubernetes Engine (GKE) for agent scalability.
Stakeholder Management: Translate business objectives into actionable AI technical requirements working closely with Cybersecurity Legal Risk and Product teams.
Data Integration: Oversee the integration of agents with enterprise data sources (e.g. CRM ERP) using APIs and secure connectors.
Required Qualifications
Experience: 8 years in AI/ML with at least 2/3 years focused on GenAI Agentic AI or multi-agent systems.
GCP Proficiency: Deep expertise in Google Cloud services (Vertex AI BigQuery GKE Cloud Functions).
Technical Skills: Proficiency in Python SQL and modern software engineering practices (APIs microservices CI/CD).
Leadership: Experience leading cross-functional teams and delivering complex enterprise-scale projects.
Education: Bachelors or masters degree in computer science AI or a related field
Role : Agentic Platform Manager Location : New York NY 10019 (Need local candidates/Hybrid) Detailed JD: strategic technical leadership role focused on designing deploying and managing enterprise-grade AI agent systems utilizing Google Cloud Platform (GCP) technologies primarily Vertex AI. This ...
Role : Agentic Platform Manager
Location : New York NY 10019 (Need local candidates/Hybrid)
Detailed JD:
strategic technical leadership role focused on designing deploying and managing enterprise-grade AI agent systems utilizing Google Cloud Platform (GCP) technologies primarily Vertex AI. This role bridges the gap between AI research/data science and operational IT ensuring that autonomous multi-agent workflows are secure scalable and compliant in high-stakes or regulated environments.
Core Responsibilities
Platform Strategy & Architecture: Define the technical roadmap architecture and design patterns for agentic systems using Vertex AI including Gemini models Agent Builder and BigQuery.
Agent Development & Deployment: Lead the end-to-end lifecycle of intelligent agents focusing on RAG (Retrieval-Augmented Generation) architectures tool execution multi-agent orchestration and autonomous decision-making.
Governance & Security: Establish guardrails auditability and traceability for AI systems ensuring compliance with regulatory standards (e.g. in utility finance) and managing human-in-the-loop fallbacks.
Infrastructure & DevOps: Manage GCP infrastructure using Infrastructure as Code (Terraform) CI/CD pipelines and Kubernetes Engine (GKE) for agent scalability.
Stakeholder Management: Translate business objectives into actionable AI technical requirements working closely with Cybersecurity Legal Risk and Product teams.
Data Integration: Oversee the integration of agents with enterprise data sources (e.g. CRM ERP) using APIs and secure connectors.
Required Qualifications
Experience: 8 years in AI/ML with at least 2/3 years focused on GenAI Agentic AI or multi-agent systems.
GCP Proficiency: Deep expertise in Google Cloud services (Vertex AI BigQuery GKE Cloud Functions).
Technical Skills: Proficiency in Python SQL and modern software engineering practices (APIs microservices CI/CD).
Leadership: Experience leading cross-functional teams and delivering complex enterprise-scale projects.
Education: Bachelors or masters degree in computer science AI or a related field
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