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Google Cloud AI Engineer "Agentic Era" || Full-Time/Permanent

New York Technology Partners

Remote • Today

Easy Apply

Full-time

Depends on Experience

Google Cloud Engineer

Dark Wolf Solutions

Herndon, Virginia • Today

Full-time

USD 120,000.00 - 160,000.00 per year

Google Cloud Platform (Google Cloud Platform) Cloud Engineer

Accenture LLP

Arlington, Virginia • Today

Full-time

USD 100,200.00 - 203,400.00 per year

Lead AWS Cloud Platform Engineer - Platform Engineering / Guardrails / IaC

System One

Hybrid in Reston, Virginia • Yesterday

Easy Apply

Contract

$109.05

Cloud Engineer

INSPYR Solutions

McLean, Virginia • 7d ago

Easy Apply

Contract

Depends on Experience

Cloud Engineer - Federal

Stefanini

Washington, District of Columbia • Yesterday

Easy Apply

Contract

Market

Cloud Support Engineer

MANTECH

Tysons, Virginia • Today

Full-time

Cloud Engineer

Two Six Technologies

Herndon, Virginia • Today

Full-time

USD 153,650.00 - 230,476.00 per year

Senior Java Full Stack Engineer (AWS Cloud Migration)

System One

Hybrid in Reston, Virginia • Today

Easy Apply

Contract

$81.06

Lead AWS Cloud Platform Engineer - IaC / SRE – Preferred TriZetto Facets / Healthcare

System One

Hybrid in Reston, Virginia • 10d ago

Easy Apply

Contract

$109.05

Senior Cloud Engineer

Accenture LLP

Arlington, Virginia • Today

Full-time

USD 106,300.00 - 221,100.00 per year

Google Cloud Platform Cloud Engineer

Lightfeather.io, LLC

Washington, District of Columbia • Today

Full-time

USD 120,000.00 - 140,000.00 per year

Senior AWS Cloud Platform Engineer - Ops / Migration / IaC / Kubernetes

System One

Hybrid in Reston, Virginia • 10d ago

Easy Apply

Contract

$109.05

Senior Google Cloud Platform Cloud Engineer

Lightfeather.io, LLC

Washington, District of Columbia • Today

Full-time

USD 120,000.00 - 140,000.00 per year

Lead AWS Cloud Security Remediation Engineer - CSPM / CrowdStrike / AWS Security

System One

Hybrid in Reston, Virginia • Today

Easy Apply

Contract

$109.05

Sr. Cloud Engineer 3

Base-2 Solutions, LLC

Reston, Virginia • Today

Full-time

USD 10.00 per hour

Cloud Engineer

Booz Allen Hamilton

Chantilly, Virginia • Today

Full-time

USD 62,000.00 - 141,000.00 per year

Lead AWS Cloud Platform Engineer - IaC / Automation / SRE

System One

Hybrid in Reston, Virginia • 10d ago

Easy Apply

Contract

$109.05

SME Cloud Engineer

GDH

Alexandria, Virginia • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Cloud Information Assurance Engineer

Telos Corporation

Tysons, Virginia • Today

Full-time

USD 135,000.00 - 155,000.00 per year

Cloud Engineer

BigBear.ai

Washington, District of Columbia • Today

Full-time

Cloud Engagement Lead - Google Cloud

EPAM Systems

Remote or New York, New York • Today

Full-time

Cloud Engagement Lead - Google Cloud

EPAM Systems

Remote • Today

Full-time

Cloud Platform Engineer

ICF International, Inc.

Washington, District of Columbia • 8d ago

Full-time

USD 108,006.00 - 183,610.00 per year

Cloud Engineer Senior

ASM Research

Fairfax, Virginia • Today

Full-time

Cloud Security Engineer 3

Base-2 Solutions, LLC

Bethesda, Maryland • Today

Full-time

Cloud Security Engineer 2

Base-2 Solutions, LLC

Bethesda, Maryland • Today

Full-time

Cloud Security Engineer 4

Base-2 Solutions, LLC

Bethesda, Maryland • Today

Full-time

Cloud Cost/Finance Ops Engineer

Accenture LLP

Chantilly, Virginia • Today

Full-time

USD 111,800.00 - 221,800.00 per year

Lead Software Engineer, Back End (Python, GO, API, AWS) (Cloud Operations Resilience Engineering)

Capital One

McLean, Virginia • Today

Full-time

USD 197,300.00 - 225,100.00 per year

Job Details

Skills

Google Cloud AI Engineer
Full-Time/Permanent
Vertex AI Agent Builder
Vertex AI
Agent Builder
Agent Developer Kit (ADK)
MCP (Model Context Protocol)
RunInference API
Vertex AI endpoints
Model Garden
SQL
BigQuery
Python
ML
Google Cloud Storage
Dataflow
Googles Data Cloud
Agentic Era

Summary

Role: Google Cloud AI Engineer
Location: Across US, preferably closer to NY, Chicago, Dallas, SF. LA etc.. (Multiple locations) Travel Required as Per Client Needed
Job Type: Fulltime/Permanent
Role Overview:
We are seeking a highly skilled Artificial Intelligence Engineer. This role is pivotal in establishing Googles Data Cloud as the essential foundation for the "agentic era". You will be responsible for designing and deploying sophisticated AI agents and grounding them in unique business data to ensure trust and operational efficiency.
Core Responsibilities:
Agentic Design & Implementation:
Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows.
Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end to-end business challenges.
Implement tools like MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases like BigQuery and Spanner.
AI on Data Strategy
Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless integration with BigQuery for feature engineering.
Build and optimize streaming data pipelines (e.g., via Dataflow) to execute real-time inference using RunInference API or Vertex AI endpoints.
Ground AI models in live business context using vector engines within BigQuery or AlloyDB to eliminate "AI amnesia".
Operational Excellence (Soft Skills)
Active Participation: Show up promptly for all internal and client-facing meetings.
Transparent Communication: Provide regular, structured status updates to team members and stakeholders regarding project milestones and technical blockers.
Proactive Collaboration: Demonstrate the ability to ask for help when facing technical hurdles and contribute to a collaborative troubleshooting environment.
Consultative Approach: Navigate corporate environments to translate high-level business goals into robust technical architectures.
Technical Qualifications
Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and model evaluation.
Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML engineering, and data preprocessing techniques (scaling, encoding, imputation).
Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
Emerging Tech: Familiarity with stateful real-time processing and the latest innovations in agentic architectures.
Preferred Experience
Background in financial services or retail to better understand industry-specific data logic (e.g., credit risk, royalty forecasting, or search relevance).
Knowledge of privacy and compliance standards for handling PII through masking and redaction.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10119106
Position Id: 9049575
Posted 2 hours ago

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Alex Syed Jordan

Recruiter @ New York Technology Partners

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Remote or Menlo Park, California

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