AI/ML Engineer (Vertex AI)

TL;DR

AI/ML Engineer (Vertex AI): Designing and developing intelligent agentic AI systems and scalable data pipelines with an accent on Vertex AI Agent Builder, multi-agent orchestration, and enterprise data integration. Focus on building production-grade AI solutions, optimizing real-time inference, and ensuring secure, compliant data handling within the Google Cloud ecosystem.

Location: Must be based in the United States (Atlanta)

Salary: $53,580–$122,400

Company

A global leader in business and technology transformation, providing end-to-end services across strategy, design, and engineering with a focus on AI and cloud innovation.

What you will do

• Design and develop intelligent AI agents using Vertex AI Agent Builder to automate complex business workflows.
• Orchestrate multi-agent systems using the Agent Development Kit (ADK) for end-to-end business challenges.
• Implement Model Context Protocol (MCP) to securely connect AI agents with enterprise data platforms like BigQuery and Cloud Spanner.
• Build and optimize real-time and batch data pipelines using Dataflow to support large-scale ML workloads.
• Architect retrieval-augmented generation (RAG) systems using vector search capabilities in BigQuery and AlloyDB.
• Collaborate with cross-functional teams to translate business objectives into scalable, production-ready technical solutions.

Requirements

• Strong hands-on experience with Vertex AI (Model Garden, Pipelines, Endpoints, Agent Builder).
• Advanced proficiency in Python and SQL (BigQuery) for machine learning and data engineering.
• Practical experience with Google Cloud Platform (GCP) infrastructure and services.
• Understanding of modern agentic AI architectures, contextual memory, and AI orchestration frameworks.
• Ability to work effectively in a collaborative, consultative environment with business stakeholders.
• Must be authorized to work in the United States.

Nice to have

• Experience in Financial Services, Banking, FinTech, or Retail domains.
• Knowledge of data privacy, governance, and regulatory compliance (PII protection, data masking).
• Familiarity with credit risk assessment, fraud detection, or customer intelligence platforms.

Culture & Benefits

• Comprehensive benefits package including medical, dental, and vision coverage.
• Retirement savings plans (401(k)).
• Paid time off including vacation, company holidays, and sick leave.
• Life and disability insurance.
• Supportive, collaborative global community focused on innovation and sustainable technology.