Jakarta AI Engineer: Deploy Production-Ready AI

Thales Group; Jakarta Pusat; Presencial; IDR 420.000.000 - 660.000.000; Jornada completa

Descripción de la vacante

Thales Group is seeking an experienced AI/ML engineer to design, develop, and deploy AI applications including generative assistants, knowledge search, and workflow automation. You will convert business needs into scalable technical designs and integrate AI into enterprise data sources and approved platforms.

You will evaluate models and deployments for accuracy, latency, and cost, while collaborating across regions to align with Group AI strategy and governance.

Formación

• Strong proficiency in Python and software engineering practices.
• Hands-on experience developing AI or ML applications and deploying them into production.
• Practical experience with large language models, prompt design, retrieval-augmented generation, embeddings, and vector search.
• Experience integrating applications through REST APIs and connecting AI solutions to enterprise data sources.
• Experience with cloud platforms, preferably Microsoft Azure and enterprise AI services.
• Solid understanding of SQL, data preparation, and data quality.
• Experience with Git-based source control, automated testing, and CI/CD pipelines.
• Understanding of AI evaluation, monitoring, security, and responsible AI principles.
• Ability to assess trade-offs between solution quality, latency, scalability, and cost.

Responsabilidades

• Design, develop, test, and deploy AI applications, including generative AI assistants, knowledge search solutions, workflow automation, and machine learning use cases.
• Translate business requirements into technical designs and working solutions, from proof of concept through production deployment.
• Integrate AI solutions with enterprise applications, approved AI platforms, APIs, and business data sources.
• Implement evaluation methods to assess accuracy, relevance, reliability, and business suitability.
• Develop reusable components and deployment practices that support adoption across regions.
• Work with business stakeholders to identify challenges and assess where AI can deliver practical benefits.
• Evaluate use cases based on business value, feasibility, data readiness, cost, and risk.
• Define success criteria and track outcomes such as time saved, improved quality, adoption, and operational efficiency.
• Support demonstrations, user testing, training, and adoption.
• Act as an accessible IS/IT partner, helping business teams navigate AI opportunities and use approved capabilities.
• Contribute to a shared AI vision and roadmap for AMEWA, Asia, and India.
• Assess existing initiatives, capabilities, and business needs across the three regions.
• Identify opportunities to reuse solutions, share knowledge, and coordinate related initiatives.
• Align regional delivery with Group AI strategy, architecture, and approved platforms.
• Collaborate with the AI Champions program to communicate business needs and connect them with relevant Group capabilities.
• Monitor deployed AI solutions for availability, performance, output quality, usage, and cost.
• Troubleshoot incidents and maintain reliable integrations and data flows.
• Implement version control, automated testing, and CI/CD practices for AI applications.
• Establish operational documentation, support procedures, and clear ownership before production release.
• Improve solutions based on user feedback, evaluation results, and changing business requirements.
• Work with cybersecurity, data protection, architecture, and relevant governance teams throughout delivery.
• Apply appropriate access controls, data handling practices, human oversight, and safeguards against misuse.
• Document solution designs, data dependencies, evaluation results, limitations, and operating procedures.
• Share practical guidance and reusable approaches with IS/IT colleagues and business teams.

Conocimientos

Python

AI/ML development

LLMs / RAG

REST APIs

Cloud platforms (Azure)

SQL

Git / CI/CD

English communication

Data processing

Educación

Bachelor’s degree in Computer Science or related

Herramientas

Azure AI services

Azure ML

Jira

GitLab

Power Platform

Descripción del empleo

Thales Group is seeking an experienced AI/ML engineer to design, develop, and deploy AI applications including generative assistants, knowledge search, and workflow automation. You will convert business needs into scalable technical designs and integrate AI into enterprise data sources and approved platforms.

You will evaluate models and deployments for accuracy, latency, and cost, while collaborating across regions to align with Group AI strategy and governance.