Opportunities in Malaysia

About the company

Global IT specialist Arvato Systems supports major companies in Digital Transformation. About 3,300 staff in over 25 locations stand for in-depth technology expertise, industry knowledge, and focus on customer requirements. Working as a team, we develop innovative IT solutions, transition our clients into the Cloud, integrate digital processes, and take on IT systems operation and support.

As a part of the Bertelsmann-owned Arvato Group network, we have the unique capability to work across the entire value chain. Through our strong strategic partner network with global top players such as AWS, Google, Microsoft, and SAP, we continuously strengthen our know-how and leverage the most advanced technology. We Empower Digital Leaders.

Arvato Systems Malaysia has been operating since 2005 and has been one of the key development hubs for its headquarters based in Germany. As a diverse and dynamic organization, we pivot on our agility as a group to provide effective and quality performance whilst emphasizing work-life balance. As a business that truly values the welfare of our employees, we focus on and promote work-life balance through various ways and measures to ensure and upkeep a high level of employee satisfaction throughout their careers.

Full job description

The AI Operations Engineer develops, integrates, and operates AI-based products and automation solutions for internal business processes and customer-facing workflows. The objective of the role is to automate recurring activities, support employees through intelligent assistance systems, and deliver new digital products based on large language models and modern automation platforms. The AI Operations Engineer is responsible for the entire solution lifecycle, from requirements analysis and solution design to technical implementation and reliable, secure, and scalable operations.

• Analyze internal and customer-facing processes to identify opportunities for automation and AI enablement.
• Design and develop AI-powered workflows, agents, assistance systems, and backend services.
• Implement workflow automation using platforms such as n8n, and integrate large language models, APIs, databases, and existing enterprise systems.
• Develop proofs of concept and transition successful solutions into production-ready applications, including reusable components, templates, and standardized integrations.
• Integrate and operate open-source and commercial language models (e.g., Gemma, Qwen), managing centralized model access, routing, and governance using solutions such as LiteLLM.
• Select suitable models based on quality, cost, latency, privacy, and use-case requirements, and develop and optimize prompts, system instructions, and structured model outputs.
• Implement retrieval-augmented generation (RAG), tool calling, and agent-based workflows, and conduct model comparisons, evaluations, and quality tests.
• Ensure stable, scalable, and transparent operation of AI solutions by establishing monitoring, logging, alerting, and error-handling mechanisms.
• Monitor model usage, response quality, latency, cost, and availability; analyze and resolve technical incidents; and manage updates, releases, and continuous improvements.
• Document architectures, interfaces, workflows, and operational procedures.
• Implement data protection, information security, and compliance requirements, including role-based access and authorization concepts.
• Ensure secure handling of sensitive company and customer data.
• Address AI-specific risks such as prompt injection, data leakage, hallucinations, and misuse, and support the development of standards and governance policies for generative AI.
• Work closely with business units, product management, IT, data protection, and information security teams to translate business requirements into technically feasible AI solutions.
• Advise internal stakeholders; conduct workshops, technical alignment sessions, and product demonstrations; and support users during the introduction and adoption of new AI products.

Typical deliverables of this role include: production-ready AI assistants for employees or customers; automated processing and classification of requests; AI-powered document and information processing solutions; automated research, summarization, and reporting workflows; intelligent routing and decision-support systems; reusable n8n workflows and AI components; centralized and controlled model access through LiteLLM; and monitoring and governance solutions for enterprise-wide AI usage.

Success in this role is measured by: the number of AI and automation solutions deployed to production; reduction in manual processing time; degree of automation across selected processes; availability and stability of operated solutions; quality and accuracy of AI-generated outputs; adoption and usage by internal or external users; cost per automated transaction or model request; and time from initial idea to production deployment.

Qualifications and requirements

Requirements:

• Degree in computer science, business information systems, data science, or a comparable field, or alternatively relevant professional experience in software development, system integration, DevOps, or AI engineering.
• Experience developing and operating production-grade software or automation solutions.
• Proficiency in at least one programming language, preferably Python or JavaScript/TypeScript.
• Experience with REST APIs, webhooks, JSON, authentication mechanisms, and system integrations.
• Practical experience with workflow automation platforms, preferably n8n.
• Hands-on experience with large language models and generative AI, including integrating and operating models such as Gemma, Qwen, or comparable models.
• Knowledge of model gateways or proxy solutions such as LiteLLM.
• Basic knowledge of container technologies such as Docker and modern deployment and CI/CD practices.
• Experience with logging, monitoring, and observability solutions.
• Understanding of data protection, information security, and secure software development.
• Good written and spoken English skills. German is an advantage but not required for collaboration within the international team.
• Preferred (advantageous) qualifications: experience with Kubernetes or comparable orchestration platforms; knowledge of cloud environments and on-premises or hybrid operating models; experience with vector databases, embeddings, and retrieval-augmented generation; knowledge of prompt engineering, LLM evaluation, and automated quality testing; experience with agent frameworks and tool-calling architectures; knowledge of infrastructure as code; experience with databases such as PostgreSQL, MongoDB, or Redis; understanding of MLOps, LLMOps, or AIOps concepts; and experience with open-source models, model hosting, and GPU infrastructure.
• Personal competencies: strong analytical and solution-oriented mindset; enthusiasm for testing new technologies and applying them in production environments; high level of ownership, quality awareness, and accountability; ability to explain complex technical topics in a clear and accessible way; independent, structured, and pragmatic working style; strong communication and collaboration skills; willingness to take responsibility for the production operation of developed solutions; and interest in business processes and cross-functional collaboration.

Additional information

Life at Arvato Systems Malaysia:

Are you ready to join a team that continuously nurtures creativity, champions entrepreneurship, and values every individual's contribution? Our agile and collaborative culture cultivates empowerment through ownership, trust, and respect. Within this environment, we innovate through value creation and delving into technology, shaping boundless possibilities in our ecosystem.

What's in it for YOU:

• Innovate Fearlessly: We fearlessly challenge the status quo. Innovation runs deep within our core, and we're continually seeking groundbreaking solutions. Your ideas matter, and we offer the platform for them to flourish.
• Invest in Growth: We prioritize your professional development with diverse learning, mentorship, and resources nurturing your growth through ample training opportunities.
• Work-Life Harmony: At our company, we prioritize work-life harmony, championing flexibility, and support to ensure your welfare. Your mental wellness is our priority. We're committed to fostering a healthy balance between work and personal life for a happier, healthier you.
• Attractive Benefits: Our flexible benefits package is designed to cater to your individual needs, complemented by exclusive perks such as Birthday Leave, Family Care Leave, and sponsored meals.
• Collaboration over Competition: Teamwork isn't just an idea here - it's our way of life.
• Thriving on Diversity: Embracing unique viewpoints and backgrounds, we ensure Equity and Inclusivity are at the heart of our success.
• Celebrate Success: From big wins to small victories, every achievement deserves its moment in the spotlight. From project milestones to personal goals and team triumphs, we're all about raising the flag high for success!
• Wellness & Well-being are Fundamental: We view wellness as more than personal health - it's the foundation of our caring, connected community. This emphasis on well-being drives our culture of rapid exploration and learning, propelling us forward together.
• Uniting through Fun: From annual company trips to quarterly team outings, we build trust and camaraderie by engaging in enjoyable activities together.
• Giving Back: Rooted in our values, we actively engage in initiatives supporting meaningful causes that benefit society. Our commitment to Corporate Responsibility is the cornerstone of our journey toward excellence.

Join Arvato Systems Malaysia for a transformative career journey. Our commitment to fair opportunities means we value skills and performance above all else - everyone is welcome to build a brighter future together.

Data Protection Notice:

In accordance with the Personal Data Protection Act (PDPA) 2010, the personal information you submit will be used solely for recruitment and selection purposes related to this vacancy. Your data will be retained until the successful candidate has been hired and officially onboarded. Thereafter, unless you have provided explicit consent for us to consider you for future opportunities, your data will no longer be actively retained in our recruitment system in line with our data protection practices.

Disclosure requirements pertaining to the collection of your personal data:

Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG.

The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here.

You can contact the company’s Data Protection Officer at the above-mentioned postal address.

Further information on data protection and your rights can be found here.

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Requirements:

• Degree in computer science, business information systems, data science, or a comparable field, or alternatively relevant professional experience in software development, system integration, DevOps, or AI engineering.
• Experience developing and operating production-grade software or automation solutions.
• Proficiency in at least one programming language, preferably Python or JavaScript/TypeScript.
• Experience with REST APIs, webhooks, JSON, authentication mechanisms, and system integrations.
• Practical experience with workflow automation platforms, preferably n8n.
• Hands-on experience with large language models and generative AI, including integrating and operating models such as Gemma, Qwen, or comparable models.
• Knowledge of model gateways or proxy solutions such as LiteLLM.
• Basic knowledge of container technologies such as Docker and modern deployment and CI/CD practices.
• Experience with logging, monitoring, and observability solutions.
• Understanding of data protection, information security, and secure software development.
• Good written and spoken English skills. German is an advantage but not required for collaboration within the international team.
• Preferred (advantageous) qualifications: experience with Kubernetes or comparable orchestration platforms; knowledge of cloud environments and on-premises or hybrid operating models; experience with vector databases, embeddings, and retrieval-augmented generation; knowledge of prompt engineering, LLM evaluation, and automated quality testing; experience with agent frameworks and tool-calling architectures; knowledge of infrastructure as code; experience with databases such as PostgreSQL, MongoDB, or Redis; understanding of MLOps, LLMOps, or AIOps concepts; and experience with open-source models, model hosting, and GPU infrastructure.
• Personal competencies: strong analytical and solution-oriented mindset; enthusiasm for testing new technologies and applying them in production environments; high level of ownership, quality awareness, and accountability; ability to explain complex technical topics in a clear and accessible way; independent, structured, and pragmatic working style; strong communication and collaboration skills; willingness to take responsibility for the production operation of developed solutions; and interest in business processes and cross-functional collaboration.

Global IT specialist Arvato Systems supports major companies in Digital Transformation. About 3,300 staff in over 25 locations stand for in-depth technology expertise, industry knowledge, and focus on customer requirements. Working as a team, we develop innovative IT solutions, transition our clients into the Cloud, integrate digital processes, and take on IT systems operation and support.

As a part of the Bertelsmann-owned Arvato Group network, we have the unique capability to work across the entire value chain. Through our strong strategic partner network with global top players such as AWS, Google, Microsoft, and SAP, we continuously strengthen our know-how and leverage the most advanced technology. We Empower Digital Leaders.

Arvato Systems Malaysia has been operating since 2005 and has been one of the key development hubs for its headquarters based in Germany. As a diverse and dynamic organization, we pivot on our agility as a group to provide effective and quality performance whilst emphasizing work-life balance. As a business that truly values the welfare of our employees, we focus on and promote work-life balance through various ways and measures to ensure and upkeep a high level of employee satisfaction throughout their careers.