Enterprise AI Architect

Orange Business is here!

About us

Join us at Orange Business!

We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.

Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.

About the role

As an Enterprise AI Architect, you will serve as the primary technical authority for designing and commercializing end-to-end AI ecosystems. This role focuses on bridging the gap between core infrastructure and the high-level AI Knowledge Layer, ensuring that models, data pipelines, and applications are integrated into repeatable, globally deliverable services. You will lead the architectural strategy for shifting from traditional storage and compute to sophisticated Model AI (MaaS) and Agentic AI frameworks.

Key Responsibilities

• Full-Stack AI Architecture Design:
  • Architect comprehensive AI platforms spanning training, inference, and data pipelines across core, cloud, and edge environments.
  • Design the AI Knowledge Layer, integrating object storage, vector databases, and lakehouse architectures to support RAG (Retrieval-Augmented Generation) and enterprise search.
  • Define reference architectures for Model-as-a-Service (MaaS) and the placement of AI workloads based on latency, resilience, and scale.
• Solution Engineering & Service Blueprints:
  • Translate complex AI platform capabilities into customer-ready solutions and deployable service blueprints.
  • Collaborate with infrastructure and network engineers to ensure AI platforms align with existing enterprise operational and delivery models.
  • Develop application-level AI frameworks, guiding the integration of LLMs into functional enterprise software and workflows.
• Technical GTM & Strategic Leadership:
  • Act as the architectural anchor for regional GTM initiatives, translating deep technical AI capabilities into clear value propositions for enterprise customers.
  • Guide specialist engineering teams toward integrated outcomes, enabling them to execute confidently in new technology domains like GenAI.
  • Support high-stakes enterprise pursuits by aligning technical intent with commercial viability and long-term scalability.

About you

• Architectural Expertise:
  • Proven experience in Data & AI Platform Architecture, including deep knowledge of distributed systems and modern data stacks.
  • Significant background in architecting for performance, resilience, and scalability within global service provider or large enterprise environments.
• AI/ML Domain Knowledge:
  • Advanced understanding of AI/ML infrastructure, including experience with leading models from OpenAI, Anthropic, or Google.
  • Expertise in database technologies (e.g., MongoDB, Snowflake) as foundational components for AI solution stacks.
• Strategic Regional Focus:
  • Extensive professional history within the APAC region, managing complex stakeholder environments and cross-functional teams.
  • A track record of driving technical strategy for high-growth business units in the cloud and data sectors.

You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive.

What we offer

• Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.• Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).• Professional Development: training programs and upskilling/re-skilling opportunities.• Career Growth: Internal growth and mobility opportunities within Orange.• Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.• Reward Programs: Employee Referral Program, Change Maker Awards.

Only your skills matter

Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.

Responsibilities

As an Enterprise AI Architect, you will serve as the primary technical authority for designing and commercializing end-to-end AI ecosystems. This role focuses on bridging the gap between core infrastructure and the high-level AI Knowledge Layer, ensuring that models, data pipelines, and applications are integrated into repeatable, globally deliverable services. You will lead the architectural strategy for shifting from traditional storage and compute to sophisticated Model AI (MaaS) and Agentic AI frameworks.



Key Responsibilities


- Full-Stack AI Architecture Design:

- Architect comprehensive AI platforms spanning training, inference, and data pipelines across core, cloud, and edge environments.


- Design the AI Knowledge Layer, integrating object storage, vector databases, and lakehouse architectures to support RAG (Retrieval-Augmented Generation) and enterprise search.


- Define reference architectures for Model-as-a-Service (MaaS) and the placement of AI workloads based on latency, resilience, and scale.



- Solution Engineering & Service Blueprints:

- Translate complex AI platform capabilities into customer-ready solutions and deployable service blueprints.


- Collaborate with infrastructure and network engineers to ensure AI platforms align with existing enterprise operational and delivery models.


- Develop application-level AI frameworks, guiding the integration of LLMs into functional enterprise software and workflows.



- Technical GTM & Strategic Leadership:

- Act as the architectural anchor for regional GTM initiatives, translating deep technical AI capabilities into clear value propositions for enterprise customers.


- Guide specialist engineering teams toward integrated outcomes, enabling them to execute confidently in new technology domains like GenAI.


- Support high-stakes enterprise pursuits by aligning technical intent with commercial viability and long-term scalability.