Senior AI/ML Engineer

Artefact; Jakarta Pusat; On-site; IDR 4,500,000,000 - 9,500,000,000; Full time

Job summary

Artefact is seeking a Senior AI Engineer / Technical Consultant to bridge strategy and technical execution. You will lead end-to-end AI/ML initiatives, from rapid PoCs to production-ready systems, collaborating with data scientists, project managers, and strategy consultants.

Responsibilities include solution design, architectural guidance, and mentorship of engineers, with hands-on work on cloud platforms (AWS/GCP/Azure) and MLOps practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related STEM field.
• Fluent English and local regional language (German or French) desired.
• Strong consulting mindset with client-facing experience preferred.

Responsibilities

• Design, implement, and deploy AI solutions tailored to client needs.
• Translate business requirements into scalable architectures and guide AI best practices.
• Prototype PoCs and scale to production with secure, maintainable systems.
• Design AI infrastructure using cloud-native services and modern data pipelines.
• Collaborate with cross-functional teams to ensure technical feasibility.
• Mentor junior engineers on MLOps and coding standards.

Skills

Python

SQL

TensorFlow

PyTorch

LLMs

Cloud platforms

MLOps

Docker

Kubernetes

ETL/ELT pipelines

Education

Bachelor’s or Master’s in CS/Data Science/Engineering

Tools

Git

Docker

Kubernetes

CI/CD for ML

Job description

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.