> Markdown version of [/jobs/ext/1183646-lead-data-scientist](https://www.wearedevelopers.com/jobs/ext/1183646-lead-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Data Scientist

- **Company:** Capgemini
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Virtual Agents, Microservices
- **Published:** July 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=98e636cf511bcfad

## About the Role

Strong Agentic AI expertise
Deep GenAI/LLM and RAG experience
Extensive Google Cloud (Vertex AI) experience
Customer Experience / Contact Center background
Hands-on architect who still codes
Strong system design and microservices knowledge
Leadership and mentoring experience

## Description

Seeking a senior-level architect/engineer to design and build AI-powered customer experience (CX) platforms using Agentic AI, LLMs, and the Google Cloud AI ecosystem. The role requires both strategic architecture leadership and hands-on development.

Candidate should demonstrate experience with:

Multi-agent systems and autonomous agents
Agent orchestration frameworks:
LangChain
LlamaIndex
Semantic Kernel
CrewAI
AutoGen
Vertex AI Agent Builder
Tool-calling agents and workflow automation
RAG (Retrieval-Augmented Generation)
Prompt engineering
LLMs such as Gemini/PaLM

Google Cloud AI Expertise

Strong hands-on experience with:

Vertex AI (Gemini/PaLM)
Dialogflow CX
Agent Builder
BigQuery
Pub/Sub
Cloud Run
GKE
Cloud Functions


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes)
- [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills)
- [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow)
- [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai)
- [Cloud Run- the rise of serverless and containerization](https://www.wearedevelopers.com/videos/106-cloud-run-the-rise-of-serverless-and-containerization)

## Related Articles

- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)