Lead Data Scientist

# Lead Data Scientist Chicago Apply  for this job
* Permanent* Experienced Professionals
* Data & AI
* -en GBChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.##

Location Denver , CO## Your 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.
** 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 Agentic AI & Generative AI   
• Multi-agent systems and autonomous AI agents   
• Lang Chain   
• Llama Index   
• Semantic Kernel   
• CrewAI   
• Auto Gen   
• 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   
• Big Query   
• Pub/Sub   
• Cloud Run   
• Google Kubernetes Engine (GKE)   
• Cloud Functions

Required Qualifications   
• 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

The base compensation range for this role in the posted location is: $150,000- $210,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as…