Frost & Sullivan MetaBrain Early Careers Program – AI Solution Architecture Internship

Frost & Sullivan; Singapore; On-site; SGD 20,000 - 33,000; Full time

Benefits offered by this job

Stipend paid internship

Job summary

Frost & Sullivan invites postgraduates, graduates and early-career professionals to contribute to MetaBrain initiatives in an AI‑driven advisory setting. You will translate business problems into AI-enabled prototypes, working alongside domain experts to connect research methods with client experiences.

Ideal candidates are pursuing or holding a Master’s or PhD in AI/ML/CS/data science, with strong Python, APIs and software‑engineering fundamentals; internships between six and twelve months are

Qualifications

• Currently pursuing or recently completed Master’s/PhD in AI, ML, CS, or data science with substantial AI work.
• Strong Python, APIs, data structures and software‑engineering fundamentals.
• Demonstrable end‑to‑end AI prototype or research implementation with clear individual contribution.

Responsibilities

• Understand the business problem and translate an advisory brief into specifications and a scoped backlog.
• Prototype architecture and knowledge representations; connect model outputs to deterministic calculations and APIs.
• Evaluate system design, measure performance, and explain choices to business and engineering mentors.
• Prepare reusable configuration schemas, interfaces, tests and architecture records.

Skills

Python

APIs

Data structures

Software engineering

Education

Master’s or PhD in AI/ML/CS/Data Science

Tools

Knowledge graphs

Information retrieval

Job description

Launch Your Career with Frost & Sullivan

At Frost & Sullivan, we believe that the future belongs to curious minds, innovative thinkers, and problem-solvers who are eager to make an impact. We are inviting applications from postgraduate students, recent graduates, and early-career professionals with up to two years of experience to join our growing global teams across various business, technology, research, consulting, AI, data, and corporate functions.

The Opportunity

Frost & Sullivan is looking for intern roles supporting MetaBrain. The work combines applied AI, business understanding, structured knowledge, quantitative models and trustworthy engineering to transform research and advisory into reusable software-enabled services. Build more than a demonstration. Work with industry researchers, advisors and engineers to turn AI capability into tested decision-intelligence software that enterprises can use.

Role Overview

Show how your technical work supports a business problem. Research, consulting or advisory experience is preferred but not mandatory. Academic projects, thesis and reproducible research implementations are valid evidence; internships do not require prior full‑time employment.

Translate a business decision into an AI‑enabled solution that can be tested, integrated and operated. Work with Frost domain experts to connect research methods, knowledge structures, data, reasoning workflows and client‑facing experiences.

Proposed engagement

Stipend: Yes, paid internship.

Duration: Preferably six months, possibility of an extension up to 12 months based on performance and where academic arrangements and work authorization permits are in place.

Full‑time Conversion: Depends on assessed performance, a suitable vacancy and eligibility; it is not guaranteed.

Essential Requirements

Currently pursuing or holding a Master's or PhD in AI, machine learning, computer science, data science or a closely related field with substantial AI work. Strong Python, APIs, data structures and software‑engineering fundamentals. One demonstrable end‑to‑end AI prototype or research implementation, with clear individual contribution. Ability to explain how a model supports a business decision.

Preferred: Knowledge graphs, information retrieval, agent workflows, enterprise integration, cloud services, user‑experience design or applied business projects. Research or consulting exposure is advantageous, not mandatory; production experience is not required for interns.

Key responsibilities

• Understand the business problem: Join discovery and document the user, decision, alternatives, constraints and success measure. Translate an advisory brief into Input-Process-Output specifications, acceptance tests and a scoped backlog.
• Prototype the architecture: Design structured knowledge representations and retrieval grounded in approved sources. Connect model outputs to deterministic calculations, APIs and tools; implement constrained workflows with clear human-review points.
• Evaluate the whole system: Compare retrieval and orchestration designs; measure factual support, task completion, latency and operating cost. Test failure handling and access boundaries and explain architecture choices to both business and engineering mentors.
• Prepare for reuse: Create configuration schemas, interfaces, automated tests and architecture records. Contribute to advisor Design/Tuning and client Advisory/Simulation experiences; document handover, deployment assumptions and observability.