Lead Data Scientist

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
• 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

• 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

Pulled from the full job description

• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance
• Employee assistance program
• Disability insurance, 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 permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

• Life and disability insurance

• Employee assistance programs

• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.