Agentic AI Engineer: Build Intelligent Cloud Agents

Capgemini; Nashville, Northern (TN, KY); Hybrid; USD 69,000 - 162,000; Full time

Benefits offered by this job

Paid time off

Medical coverage

401(k)

Job summary

Capgemini is hiring an Onsite Senior Software Engineer to design and implement agentic AI solutions on Google Cloud Platform. The role combines cloud development with AI/ML engineering to deliver scalable architectures for real‑world business challenges in a hybrid US setting.

As part of a scrum team, you will build intelligent agents, manage multi‑agent systems, and secure enterprise integrations using MCP tools. Strong GCP expertise and collaboration skills are essential for success.

Qualifications

• 3–6 years of AI/ML engineering, cloud development, or data engineering with a strong focus on Google Cloud Platform solutions.
• Proven experience developing agentic AI solutions using Vertex AI Agent Builder and Agent Developer Kit (ADK).
• Strong expertise with Vertex AI, including Model Garden, Vertex AI Pipelines, model evaluation, training, tuning, and deployment.
• Advanced knowledge of SQL for BigQuery and Python for machine learning engineering and automation.
• Experience with data preprocessing techniques including scaling, encoding, and imputation.
• Hands‑on experience with Google Cloud Storage, Vertex AI endpoints, and cloud‑native GCP services.
• Experience building and optimizing streaming data pipelines using Dataflow and real‑time inference architectures.
• Knowledge of vector search, retrieval‑augmented generation (RAG), and contextual grounding using BigQuery or AlloyDB vector engines.
• Experience implementing secure enterprise integrations using MCP (Model Context Protocol) and related technologies.
• Familiarity with stateful real‑time processing and emerging agentic architecture innovations.

Responsibilities

• 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 such as MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases including BigQuery and Spanner.
• Utilize Vertex AI for model training, tuning, deployment, and lifecycle management.
• Build and optimize streaming data pipelines using Dataflow to enable real‑time inference through RunInference API or Vertex AI endpoints.
• Ground AI models in live business context using vector engines within BigQuery or AlloyDB to improve accuracy and contextual relevance.
• Develop and deploy AI‑powered applications leveraging Google Cloud Platform (GCP) services.
• Work with cloud‑native architectures and integrate applications with GCP‑hosted APIs and services.
• Actively participate in internal and client‑facing meetings, providing regular updates on project milestones and technical blockers.
• Collaborate with business and technology stakeholders to translate high‑level business goals into scalable technical architectures.

Skills

Vertex AI

Agent Builder

ADK

BigQuery

Spanner

Python

BigQuery SQL

Dataflow

Vector search

GCP

Agile

MCP Toolbox

Tools

MCP Toolbox

Job description

Capgemini is hiring an Onsite Senior Software Engineer to design and implement agentic AI solutions on Google Cloud Platform. The role combines cloud development with AI/ML engineering to deliver scalable architectures for real‑world business challenges in a hybrid US setting.

As part of a scrum team, you will build intelligent agents, manage multi‑agent systems, and secure enterprise integrations using MCP tools. Strong GCP expertise and collaboration skills are essential for success.