[Hiring] Senior Test Automation Engineer @Capgemini

Role Description

We are looking for Senior Test Automation Engineer - GCP Agentic AI Engineer leads the architecture, development, and deployment of enterprise-scale Generative AI and Agentic AI solutions on Google Cloud Platform (GCP), leveraging Vertex AI and Gemini models. This role is responsible for designing production-grade RAG architectures, grounding strategies, embedding frameworks, and autonomous multi-agent systems that deliver accurate, scalable, and business-driven AI outcomes.

• Lead the design, development, and deployment of enterprise-grade Generative AI and Agentic AI solutions on Google Cloud Platform (GCP) using Vertex AI.
• Architect and implement scalable Retrieval-Augmented Generation (RAG) solutions, including data ingestion, embeddings, vector search, and retrieval pipelines.
• Develop and optimize grounding and embedding strategies to improve AI response accuracy, relevance, and factual consistency.
• Build and manage Agentic AI and multi-agent systems capable of autonomous decision-making, orchestration, and task execution.
• Integrate Large Language Models (LLMs) with enterprise applications, APIs, and external tools using structured interaction frameworks such as Model Context Protocol (MCP).
• Design and deploy cloud-native AI applications leveraging Docker, Kubernetes, microservices, serverless technologies, and modern MLOps/CI-CD practices.
• Provide technical leadership through architecture reviews, proof-of-concepts (PoCs), solution design, troubleshooting, and delivery governance.
• Collaborate with cross-functional stakeholders and mentor engineering teams to drive AI innovation, best practices, and successful business outcomes.

Qualifications

• Strong hands-on experience with Google Cloud Platform (GCP), particularly Vertex AI, for building and deploying enterprise-scale Generative AI solutions.
• Proven expertise in designing and implementing Retrieval-Augmented Generation (RAG) architectures, including document ingestion, retrieval pipelines, and contextual response generation.
• Deep understanding of embeddings, vector databases, semantic search, and grounding techniques to improve AI accuracy, relevance, and trustworthiness.
• Extensive experience developing Agentic AI and multi-agent systems using modern frameworks such as LangChain and related orchestration technologies.
• Advanced programming skills in Python, with experience in enterprise application development using Java, C#, or Node.js.
• Strong knowledge of SQL and NoSQL databases, including data modeling, optimization, and integration with AI-driven applications.
• Experience building cloud-native and containerized applications using Docker, Kubernetes, microservices, and serverless architectures.
• Solid background in DevOps, CI/CD, MLOps, and AI model lifecycle management, ensuring scalable, reliable, and production-ready deployments.
• Excellent technical leadership, stakeholder management, problem-solving, and communication skills, with a proven track record of leading teams and delivering successful AI transformation initiatives.

Requirements

• The base compensation range for this role in the posted location is $101,140 - 182,624.
• Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws.
• The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
• In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.