Lead Data Engineer - Google Cloud Platform AI Architect

We are seeking an experienced Google Cloud Platform AI Architect to lead the design, architecture, and implementation of enterprise-scale Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and Data Analytics solutions on Google Cloud Platform (Google Cloud Platform). The ideal candidate will combine deep expertise in cloud architecture, AI/ML technologies, and business transformation to create scalable, secure, and responsible AI solutions that deliver measurable business value.

Your Role

• AI & Generative AI Architecture
• Design end-to-end AI, Generative AI, and ML solution architectures on Google Cloud Platform.
• Define enterprise AI strategies, roadmaps, and reference architectures.
• Architect Retrieval-Augmented Generation (RAG), Agentic AI, and AI-powered business applications.
• Evaluate and select appropriate Foundation Models, Gemini models, and open-source LLMs.
• Design prompt engineering, fine-tuning, grounding, and vector search strategies.
• Google Cloud Architecture
• Design scalable, secure, and highly available cloud-native architectures using:
• Vertex AI
• BigQuery
• Cloud Storage
• Cloud Run
• Google Kubernetes Engine (GKE)
• Dataflow
• Pub/Sub
• Cloud Functions
• Define multi-region and disaster recovery strategies.
• Ensure architectural alignment with enterprise cloud standards.
• AI Platform & MLOps
• Establish enterprise MLOps and LLMOps frameworks.
• Design automated model development, deployment, monitoring, and governance pipelines.
• Define model lifecycle management processes.
• Implement CI/CD practices for AI solutions.
• Monitor performance, model drift, and operational efficiency.
• Data & Analytics Architecture
• Design modern data architecture supporting AI initiatives.
• Create data lakes, lakehouses, and enterprise analytics solutions.
• Establish feature engineering and data preparation frameworks.
• Define data quality, governance, lineage, and metadata management practices.
• Security, Governance & Responsible AI
• Define AI governance frameworks and policies.
• Implement data privacy, compliance, and security controls.
• Ensure Responsible AI principles including:
• Fairness
• Transparency
• Explainability
• Bias detection
• Risk mitigation
• Collaborate with security and compliance teams., Large Language Models (LLMs)
• Vertex AI Model Garden
• Prompt Engineering
• Fine-tuning Foundation Models
• Vector Databases and Embeddings
• RAG Architecture
• AI Agents and Multi-Agent Systems
• Preferred Certifications
• Google Cloud Professional Cloud Architect
• Google Cloud Professional Machine Learning Engineer
• Google Cloud Professional Data Engineer

• 8+ years of experience in cloud architecture, software engineering, or data platforms.
• 3+ years of experience designing AI/ML solutions on Google Cloud Platform.
• Experience leading enterprise-scale cloud transformation programs.
• Experience architecting Generative AI and LLM-based applications.
• AI & Machine Learning
• Machine Learning model lifecycle
• Natural Language Processing (NLP)
• Computer Vision

The base compensation range for this role in the posted location is: $144,890 - $190,117.

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.

Choosing 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., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.