AI Architect

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. Job Description AI Architecture & Deployment Specialist Architecture | Engineering | Production deployment A senior, client-facing engineering role responsible for taking AI solutions into production. The Implementation Specialist owns architecture, integration, deployment, stabilization and handover, with clear accountability to align timelines with stakeholders, explain technical requirements & gaps and for making the solution work in the client environment. What you will do • Own scaling from prototype through build, integration, production deployment and handover. • Define end-to-end architecture across applications, APIs, data, AI, cloud, security and enterprise integration. • Lead deployment across cloud, hybrid and on-premise environments in large regulated enterprises. • Integrate AI platforms with enterprise systems, data sources, identity, security and operational tooling. • Design and implement multi-agent systems, defining agent roles, orchestration patterns, handoffs, state management, and coordination across complex workflows. • Design agent memory architectures spanning working, episodic, semantic, and long-term memory, with clear retrieval, retention, and governance patterns for reliable enterprise use. • Stay hands-on during critical phases including troubleshooting, configuration, performance tuning and production readiness. • Establish deployment patterns using containers, Kubernetes, CI/CD, Infrastructure as Code and DevSecOps practices. • Define monitoring, logging, observability, resiliency, rollback, runbooks and support requirements. • Turn successful prototypes into scalable, secure and supportable production solutions. What we are looking for • Architect-level experience - Solution Architect, Enterprise Architect, Principal Engineer or equivalent. • Proven ownership of enterprise solutions from architecture through production deployment and operationalization. • Production deployment experience with at least one leading AI platform - OpenAI, Anthropic Claude or Google Gemini (or others). • Hands-on experience designing and building enterprise GenAI and multi-agent systems, including orchestration, handoffs, state management, and tool integration. • Strong experience with agent memory architectures, including working, episodic, semantic, and long-term memory, with appropriate retrieval and governance patterns. • Strong understanding of APIs, microservices, distributed systems, event-driven architecture and enterprise integration. • Hands-on familiarity with Docker, Kubernetes, CI/CD, DevSecOps and Infrastructure as Code. • Experience deploying AI evaluation metrics, guardrails and AI observability across enterprise. • Banking or Insurance delivery experience and the ability to operate with architecture, security, engineering and business stakeholders. Success in the role Gets solutions through the final mile into production - secure, scalable, observable, supportable and integrated into the client environment. The base compensation range for this role in the posted location is: 170,000 - 200,000 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. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, i