Hybrid Lead AI Engineer, Vertex AI & GCP (Dallas)

Capgemini; Houston (TX); Hybrid; USD 82,000 - 193,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

401(k) retirement plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a Lead Forward Deployed AI Engineer to drive the design and deployment of Enterprise-scale Agentic AI and Conversational AI solutions on Google Cloud Platform. This customer-facing role partners with business and technology teams to transform AI prototypes into production-ready systems using Vertex AI, multi-agent architectures, RAG, and cloud-native services.

In this hybrid Dallas-based role, you will design and deploy Agentic AI and Conversational AI solutions, develop

Qualifications

• At least 10+ years of experience in Software Engineering, AI/ML, Cloud Engineering, or Data Engineering.
• Strong experience with GCP, Vertex AI, Vertex AI Agent Builder, ADK, and Model Garden.
• Advanced Python development skills and experience building enterprise applications.
• Hands-on experience with Agentic AI, multi-agent systems, Conversational AI, and CX solutions.
• Experience implementing RAG, vector databases, embeddings, and enterprise knowledge integrations.
• Experience with Terraform, cloud infrastructure, networking, and security.
• Knowledge of evaluation frameworks, observability, debugging, and AI system optimization.
• Experience integrating AI solutions with enterprise systems and APIs.
• Experience working in Agile/Scrum environments.
• Strong communication, stakeholder management, and problem-solving skills.
• Bachelor's degree in Computer Science, Engineering, or related field.
• Master's degree or PhD preferred.

Responsibilities

• Design and deploy Agentic AI and Conversational AI solutions using Vertex AI Agent Builder and ADK.
• Develop multi-agent workflows and integrate them with enterprise applications, APIs, and data platforms.
• Build and optimize RAG solutions leveraging BigQuery, AlloyDB, and vector search technologies.
• Implement secure integrations using MCP and cloud-native GCP services.
• Develop evaluation, monitoring, and observability frameworks for AI systems.
• Deploy and manage AI infrastructure using Terraform and modern DevOps practices.
• Optimize agent performance, reasoning, tool selection, latency, and user experience.
• Collaborate directly with client teams to deliver scalable, secure, and business-focused AI solutions.
• Translate business requirements into production-ready AI architectures.
• Participate in Agile delivery, client meetings, and technical design discussions.

Skills

Python development

AI/ML engineering

GCP Vertex AI

Multi-agent systems

Terraform / DevOps

Agile/Scrum

Cloud security

Communication

Education

Bachelor's degree in CS/Engineering

Master's degree preferred

Tools

Vertex AI Agent Builder

ADK

Model Garden

BigQuery

AlloyDB

Job description

Capgemini is seeking a Lead Forward Deployed AI Engineer to drive the design and deployment of Enterprise-scale Agentic AI and Conversational AI solutions on Google Cloud Platform. This customer-facing role partners with business and technology teams to transform AI prototypes into production-ready systems using Vertex AI, multi-agent architectures, RAG, and cloud-native services.

In this hybrid Dallas-based role, you will design and deploy Agentic AI and Conversational AI solutions, develop