# Senior AI/ML Engineer at Artefact

> Indonesia · Senior · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Aartefact%3A8509589002 (read 2026-11-13).

## Facts (observed)

- Company: [Artefact](https://alderhq.app/companies/artefact)
- Location text: Jakarta, Jakarta, Indonesia; Jakarta
- Where it can be done from (inferred): Indonesia (evidence: "Location: Jakarta, Jakarta, Indonesia; Jakarta")
- Posted: 2026-04-16 (211 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-12
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/artefact/jobs/8509589002
- Skills listed (inferred): JavaScript, Node.js, Python, Java, C++, AWS, GCP, Azure, Kubernetes, Docker, SQL, PyTorch, TensorFlow, LLMs

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

What you will be doing?

We are looking for a Senior AI Engineer / Technical Consultant to bridge the gap between high-level strategy and technical execution. You will act as a "builder first, consultant second," designing and deploying AI/ML solutions that solve complex business problems for global clients. This role involves end-to-end technical leadership, from initial rapid prototyping (PoCs) to scaling production-ready systems.

### Key Responsibilities

Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs.

Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices.

Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability.

Architecture & Infrastructure: Design robust AI infrastructure using cloud-native services (AWS, Azure, or GCP) and modern data pipelines.

Collaboration: Work within cross-functional teams (Data Scientists, Project Managers, and Strategy Consultants) to ensure the technical feasibility of AI initiatives.

Mentorship: Lead project workstreams and mentor junior engineers on technical best practices, MLOps, and coding standards.

### Technical Requirements

Experience: 5+ years in Software Engineering, Data Science, or AI/ML development.

Core Programming: Mastery of Python and SQL; familiarity with other languages (Java, C++, or Node.js) is a plus.

AI/ML Frameworks: Deep experience with TensorFlow, PyTorch, or HuggingFace.

Generative AI: Hands-on experience with LLMs, prompt engineering, fine-tuning, and vector embeddings.

Cloud Platforms: Proven experience deploying AI solutions on AWS, GCP, or Azure.

Tools & DevOps: Proficiency with Git, Docker, Kubernetes, and MLOps principles (CI/CD for machine learning).

Data Engineering: Ability to build and manage ETL/ELT pipelines and work with various database schemas (SQL, NoSQL, Graph).

### Qualifications & Soft Skills

Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related STEM field.

Communication: Fluency in English and the local regional language (German or French). Ability to explain complex technical concepts to non-technical business leaders.

Mindset: A "builder’s mindset" with the agility to work in a fast-paced, client-facing consulting environment.

Consulting Experience: Prior experience in a professional services or consulting firm is highly preferred.

### What to Expect

Impactful work on global accounts (e.g., Warner Bros, Orange, L'Oréal).

A collaborative "scale-up" environment with a heavy focus on continuous learning and a dedicated training budget.

Opportunity to lead high-visibility projects within the first year.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aartefact%3A8509589002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.