Gen AI Architect

Capgemini; Denver (CO); On-site; USD 140,000 - 220,000; Full time

Job summary

Capgemini in Denver seeks a Senior AI Architect/Lead Engineer to drive design and development of AI-powered CX platforms, focusing on agentic AI, LLMs, and Google Cloud-based solutions.

You will guide technical vision, mentor teams, and implement multi-agent systems, RAG pipelines, and tooling integrations while contributing hands-on code.

Qualifications

• 10+ years of software engineering, cloud architecture, or enterprise solution design.
• 5+ years of AI/ML or Generative AI experience.
• Leadership and mentoring experience.

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 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

Skills

Multi-agent systems

Generative AI

Semantic Kernel

Vertex AI Agent Builder

Tool-calling agents

Workflow automation

AI governance

LLMs

Gemini models

Google Cloud

Tools

Vertex AI

Gemini/PaLM

GCP tooling

Vertex AI Agent Builder

Job description

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 modelsVertex 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