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Gen AI Architect

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Capgemini
Full Time position
Listed on 2026-08-22
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 140000 - 220000 USD Yearly USD 140000.00 220000.00 YEAR
Job Description & How to Apply Below

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.

Key Responsibilities
  • 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
  • Multi-agent systems and autonomous AI agents
  • Semantic Kernel
  • Vertex AI Agent Builder
  • Tool-calling agents and workflow automation
  • AI evaluation and governance
  • Google Gemini models

    Vertex AI (Gemini/PaLM)
  • Vertex AI Agent Builder
Required Qualifications
  • 10+ years of software engineering, cloud architecture, or enterprise solution design experience
  • 5+ years of AI/ML or Generative AI experience
  • 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
  • Hands-on architect who still codes
  • Strong system design and microservices architecture skills
  • Proven leadership and mentoring experience
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