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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - **Company:** Capgemini - **Location:** Denver, CO, United States - **Experience:** Expert - **Salary:** $150,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Computing Platforms, BigQuery, Cloud Engineering, Python (Programming Language), Software Engineering, Workflow Management Systems, Google Cloud, Large Language Models, Multi-Agent Systems, Prompt Engineering, IT Architecture, Generative AI, Event Driven Architecture, AI Platforms, Kubernetes, Virtual Agents, Api Management, Microservices - **Published:** July 3, 2026 - **Apply:** https://www.capgemini.com/jobs/511422-en_GB_SAPBTP/x/ ## About the Role We are seeking a highly experienced Senior AI Architect / Lead Engineer to lead the design, architecture, and development of next-generation AI-powered Customer Experience (CX) platforms. This role is ideal for a hands-on technology leader who combines deep expertise in Agentic AI, Generative AI, Large Language Models (LLMs), and Google Cloud AI services with a strong background in customer engagement and contact center solutions. The successful candidate will drive the technical vision and implementation of intelligent, autonomous customer experience platforms leveraging multi-agent systems, Retrieval-Augmented Generation (RAG), workflow automation, and Google Cloud AI technologies. This individual must be equally comfortable defining enterprise architecture, mentoring engineering teams, and writing production-grade code., * 10+ years of software engineering, cloud architecture, or enterprise solution design experience * 5+ years of AI/ML or Generative AI experience * Proven experience delivering enterprise-scale AI applications on Google Cloud * Strong Python development skills * Leadership and mentoring experience What We're Looking For Strong Agentic AI expertise Deep GenAI, LLM, and RAG experience Extensive Google Cloud and Vertex AI experience Customer Experience / Contact Center domain expertise Hands-on architect who still codes Strong system design and microservices architecture skills Proven leadership and mentoring experience ## Description * Define and execute the architecture strategy for AI-powered CX and contact center solutions. * Design, build, and deploy Agentic AI systems using autonomous agents, multi-agent collaboration, and workflow orchestration frameworks. * Develop intelligent conversational and task-oriented experiences leveraging LLMs and Generative AI technologies. * Architect scalable and secure AI solutions on Google Cloud Platform (GCP). * Build and optimize RAG pipelines for enterprise knowledge retrieval and contextual AI interactions. * Design agent workflows incorporating tool usage, API integrations, function calling, and orchestration capabilities. * Lead the implementation of cloud-native microservices and event-driven architectures. * Collaborate with business, CX, product, and engineering stakeholders. * Establish AI architecture standards, development best practices, governance, and security controls. * Mentor engineers and architects while providing technical leadership Skill and Experience Agentic AI & Generative AI * Multi-agent systems and autonomous AI agents * LangChain * LlamaIndex * Semantic Kernel * CrewAI * AutoGen * Vertex AI Agent Builder * Tool-calling agents and workflow automation * Retrieval-Augmented Generation (RAG) * Prompt engineering * AI evaluation and governance Large Language Models * Google Gemini models * PaLM models * Enterprise LLM integration patterns Google Cloud AI & Platform Expertise * Vertex AI (Gemini/PaLM) * Vertex AI Agent Builder * Dialogflow CX * BigQuery * Pub/Sub * Cloud Run * Google Kubernetes Engine (GKE) * Cloud Functions ## Related Videos - [This App Reached 10,000 Users in One Week. 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