Hello,
My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website .
If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position
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 (Google Cloud Platform) 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 Google Cloud Platform 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.
- Google Cloud Platform 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.
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Education: Bachelor's or master's degree in computer science, AI, or a related field