SR GEN AI Engineer

Job Title: SR GEN AI Engineer

Location: New Jersey

Duration: 12 Months + Extension

Bill Rate: $87/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

POSITION OVERVIEW :

Job Description :

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

Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.