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100% Remote - AI Engineer (Vertex AI)

Empower ProfessionalsUnited States🇺🇸United StatesPosted 10 Jul 2026

Why This Role Stands Out

This 100% remote AI Engineer role offers a fantastic opportunity to innovate with cutting-edge Vertex AI technologies and build intelligent agents that solve complex business challenges. If you're a mid-senior AI professional eager to develop your skills in multi-agent systems and AI on data strategies, this impactful, long-term contract position is perfect for you to explore.

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Role: AI Engineer (SCE) Locations: 100% Remote Duration: 12+ Months Contract


Key Responsibilities: 1. 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 such as BigQuery and Spanner.
2. 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 Requirements (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.

Required Technical Expertise:
  • 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.

Early response is appreciated....

Best Regards Akash Kumar Empower Professionals Inc ...................................................................................................................................
Direct: , Desk: x 331 100 Franklin Square Drive Suite 104 | Somerset, NJ 08873

Certified NJ and NY Minority Business Enterprise (NMSDC)

Skills

SQL
BigQuery
Google Cloud
Python

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