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DXC Technology

Global IT services for enterprise modernization

AI Architect

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLa Défense, FranceNo salary listedIn-person

About the Job

Requirements

  • A degree in computer science, applied mathematics, data science, or a similar field, at engineering-school, master's, or equivalent level is required.
  • More than 10 years of professional experience in software engineering or technical architecture is required.
  • Significant experience designing and deploying production AI/ML solutions is required.
  • Proven experience in client-facing roles such as consulting, presales, or business development is required.
  • Experience in a digital services company (ESN) is mandatory, including understanding the consulting model, staffing challenges, and client relationship management.
  • Strong knowledge of AI/ML, including classical machine learning, deep learning, natural language processing, computer vision, and generative AI/large language models, is required.
  • Knowledge of major cloud platforms (AWS, Azure, GCP) and open-source frameworks such as LangChain is required.
  • MLOps experience is required, including machine-learning CI/CD, model monitoring, experiment tracking, and feature stores.
  • Strong software engineering foundations are required, including Python, APIs, microservices, containerization, Docker, and Kubernetes.
  • Knowledge of data architecture, data pipelines, and data governance is required.
  • Ability to design end-to-end AI systems, from data ingestion through inference and monitoring, is required.
  • Strong communication skills, including explaining complex technical topics in accessible terms, are required.
  • Strong written skills in English and French for commercial proposals and technical documentation are required.
  • Entrepreneurial initiative and autonomy are required.
  • Ability to work collaboratively in multidisciplinary project teams is required.

Responsibilities

  • Engage with clients during presales to understand their AI challenges and opportunities.
  • Co-design solution architectures and define suitable technical approaches.
  • Lead or contribute to commercial proposals, requests for proposals, and statements of work.
  • Present technical and business visions to executive-level stakeholders.
  • Contribute to qualifying opportunities and developing the AI business pipeline.
  • Design and develop AI prototypes and proofs of concept to validate hypotheses and demonstrate value to clients.
  • Explore and benchmark AI technologies, frameworks, and multi-cloud platforms.
  • Translate complex business problems into concrete, feasible AI architectures.
  • Promote responsible and explainable AI practices throughout experimentation.
  • Lead or contribute to end-to-end delivery of AI transformation projects.
  • Define and enforce architecture standards, design patterns, and AI best practices.
  • Guide and support technical teams, including data scientists, machine-learning engineers, and developers.
  • Ensure solutions are robust, scalable, secure, and aligned with client constraints and governance.
  • Serve as the client's primary technical contact throughout delivery.
  • Build and evolve DXC France's AI technology offering.
  • Structure the internal community of AI technical consultants through knowledge sharing, best-practice dissemination, and collective skills development.

About the Company

DXC Technology

Global IT services for enterprise modernization

DXC Technology provides IT services to large enterprises, helping them manage and modernize mission-critical systems. It offers consulting, system integration, and managed services that are typically delivered under long-term contracts. The core offering is the Enterprise Technology Stack, which modernizes IT infrastructure, optimizes data architectures, and ensures security and scalability across public, private, and hybrid cloud environments. By applying this stack, DXC helps clients run reliable and scalable IT operations while migrating workloads to the cloud and strengthening data governance. The company differentiates itself with a global reach, a large Fortune 500 client base, and a track record of long-term partnerships, coupled with commitments to sustainability and corporate responsibility. The goal is to be a trusted partner that enables enterprises to operate, secure, and evolve their IT environments efficiently and effectively.

Company size
10,001+
Company stage
IPO
Headquarters
McLean, VA
Founded
2017

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