Job Location: This is a hybrid role based in Chicao, IL. About the Job You're Considering We are seeking an experienced GCP 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 (GCP). 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 GCP. - 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.

Skills and experience

• 8+ years of experience in cloud architecture, software engineering, or data platforms.
• 3+ years of experience designing AI/ML solutions on GCP.
• 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 - Generative AI - 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

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.