AI Engineer - IS/IT International

Thales Avionics, Inc. (AGS); Jakarta Pusat; On-site; IDR 350,000,000 - 550,000,000; Full time

Job summary

Thales Avionics, Inc. (AGS) in Jakarta, Indonesia, is seeking an AI Solution Developer to design, test, and deploy AI applications including generative assistants, knowledge search, and workflow automation.

You will translate business requirements into technical designs, integrate with enterprise systems, and ensure secure, scalable AI deployments across regions. You will collaborate with stakeholders to identify high-value AI opportunities, define success metrics, and support demonstrations,

Qualifications

• Must have 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.

Responsibilities

• AI Solution Development & Deployment: Design, test, and deploy AI applications from proof of concept to production.
• Integrate AI with enterprise apps, approved AI platforms, APIs, and data sources.
• Develop reusable components and deployment practices for regional adoption.
• Business Engagement & Value Delivery: Work with stakeholders to identify AI opportunities and measure impact.
• Define success criteria and track outcomes like time saved and efficiency gains.
• Provide demonstrations, testing, training, and adoption support.
• IS/IT AI Vision & Regional Roadmap: Contribute to regional AI strategy and alignment with Group capabilities.
• Production Operations & Continuous Improvement: Monitor AI solutions for availability, performance, and cost; implement CI/CD and automation.
• Security, Governance & Knowledge Sharing: Align with cybersecurity and data governance teams; document designs and share guidance.

Skills

Python proficiency

AI/ML development

LLM, RAG, embeddings

REST APIs integration

Cloud platforms (Azure)

SQL & data quality

Git-based workflows

AI evaluation & security

Trade-off analysis (latency, cost)

Tools

Azure AI services

Azure Machine Learning

365/Microsoft 365

MLOps / LLMops

Job description

Location: Jakarta, Indonesia

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we're driven by a mission to build a future we can all trust.

Thales has been present in the Republic of Indonesia for 45 years in the defence, aerospace and space domains, delivering a wide range of civil and defence solutions that highlight our strong commitment to working with the Indonesian government and local stakeholders. In recent years, our innovative solutions in air traffic management systems and telecom satellites have further strengthened our presence in the country alongside our digital portfolio of solutions such as biometrics, data protection and cybersecurity now serving the needs of diverse customers in civil sectors.

Key Responsibilities

1. AI Solution Development & Deployment 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.
2. Business Engagement & Value Delivery 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.
3. IS/IT AI Vision & Regional Roadmap 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.
4. Production Operations & Continuous Improvement 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.
5. Security, Governance & Knowledge Sharing 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.

Requirements Technical Skills

Must Have

• Strong proficiency in Python and software engineering practices.
• Hands-on experience developing AI or machine learning applications and deploying them into production.
• Practical experience with large language models, prompt design, retrieval-augmented generation (RAG), 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.

Nice to Have

• Experience with Azure AI services, Azure Machine Learning, or comparable enterprise AI platforms.
• Familiarity with Microsoft 365, Power Platform, and enterprise AI assistant capabilities.
• Experience with containerization, infrastructure automation, and MLOps or LLMOps practices.
• Experience with document processing, enterprise knowledge management, or workflow automation.
• Familiarity with ITSM platforms such a