Level

Orange

Enterprise AI Architect

Orange is hiring an Enterprise AI Architect in Singapore, Singapore. Level rates it ; you can apply on Orange.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions OpenAI, Anthropic and RAG among its tools and skills.
  • Orange has 857 other open roles on Level.
  • Posted in the last few days.

AI in this role

openaianthropic
rag

Publication date : Aug 03, 2026, 12:00AM

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.

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.

  • 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.

• 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.

At Orange, only your skills matter.

Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.

How we rate this

Enterprise AI Architect at Orange rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGOpenAIAnthropic

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Walk me through how you've used OpenAI in your day-to-day work.
  3. What are the limits of Anthropic that you've run into, and how did you work around them?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: RAG, OpenAI, and Anthropic. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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