C

Capgemini

Global consulting, technology services, outsourcing

AI Architect

Implementation & Technical Account ManagementUpdated on Nov 14
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • Architect-level experience as a 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, such as OpenAI, Anthropic Claude, Google Gemini, or another platform.
  • Hands-on experience designing and building enterprise generative AI 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 application programming interfaces, microservices, distributed systems, event-driven architecture, and enterprise integration.
  • Hands-on familiarity with Docker, Kubernetes, continuous integration and continuous delivery, DevSecOps, and Infrastructure as Code.
  • Experience deploying AI evaluation metrics, guardrails, and AI observability across an enterprise.
  • Banking or insurance delivery experience and the ability to work with architecture, security, engineering, and business stakeholders.

Responsibilities

  • Own scaling solutions 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 retrieval, retention, and governance patterns for reliable enterprise use.
  • Provide hands-on support during critical phases, including troubleshooting, configuration, performance tuning, and production readiness.
  • Establish deployment patterns using containers, Kubernetes, continuous integration and continuous delivery, Infrastructure as Code, and DevSecOps practices.
  • Define monitoring, logging, observability, resiliency, rollback, runbooks, and support requirements.
  • Turn successful prototypes into scalable, secure, supportable production solutions.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

Recently Posted Jobs

Explore more opportunities at Capgemini

See more jobs