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Job Summary
Based in our Jakarta office, the Sales Engineer will provide guidance in the use of InterSystems' products as they best suit the requirements of the customer and its market. Product and business strategies are coordinated with the InterSystems Sales Team to apply existing and new products to customers' database and application needs.
This is a comprehensive and challenging role, requiring a mix of solution design skills, hands-on coding, presentation skills, technical architecture, sales awareness, business acumen, evangelism, mentoring and training. The Sales Engineer should have a strong technical background within healthcare software.
This role requires regular travel across SE Asia.
Responsibilities
Experience & Qualifications
Education and Training
About InterSystems
InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies
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What we offer
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Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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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.
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.
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).
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.
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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Apply to ArtefactCookies & analytics
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