AI Software Engineer
Role details
Job location
Tech stack
Job description
The AI Software Engineer owns the technical side of the selected Back Office innovation initiatives of the area. These will most of the times involve AI, either ML, GenAI, Agentic AI. The person evaluates technical feasibility and limitations, designs the blueprint for the best solution and how the AI component interacts with the data flows and target software. Ensure it aligns with enterprise architecture and security guidelines, does code reviews and help troubleshoot issues during the build with external developers. Drives the delivery team. Package the code, document it, and support the transition to run What you'll be doing
- Technical Prototyping: build PoCs (e.g., policy chatbot, invoice automation, contract review) using Azure AI/OpenAI, Python, Power Platform and enterprise APIs.
- Technology Integration: experiment with and configure AI features in BO platforms (e.g., SAP/Workday/ServiceNow AI).
- Solution Architecture: creating the technical blueprint.
- AI/ML Engineering: apply NLP/LLM techniques (classification, extraction, summarization, RAG); prompt engineering and fine-tuning for pilots.
- Enable External Development Team and unblock them, make sure they have all they need.
- Handover & Collaboration: document code and designs, support knowledge transfer and initial troubleshooting for IT/BO or vendors.
- Compliance: align with enterprise architecture, security, privacy and Responsible AI guidelines.
- Continuous Experimentation: monitor emerging AI platform capabilities; contribute reusable accelerators., You will have the opportunity to grow across a variety of interesting jobs and careers over our extensive portfolio of global brands. We empower our colleagues to work in the smartest, most efficient ways, achieving total balance between their jobs and their lives. We offer world-class resources for upskilling and development, satisfying your curiosity while sharing skills, knowledge, and expertise to grow together. Here, you can be yourself, and we aim to build on the attributes that make you, you. A journey to bring out the best in you
We believe that having an understanding of the hiring process helps you to prepare, feel, and be, at your best. As a global, multi brand organization with multiple different roles, our application process can vary.
On our career site, you will find some of the key steps you can expect to guide you along the way.
Inclusion
We believe in talent, not labels. We focus on the diverse and unique skills our people bring. Our culture of belonging and purpose ensures everyone can thrive and feel engaged. We are proud to be an Equal Opportunity Employer, committed to equity, equal opportunity, inclusion, and diversity.
Interview Process
Our interview process includes an initial phone screening, followed by a virtual round of interviews with Hiring Manager, HR team and senior leaders. This process helps us understand your fit within our team and allows you to ask questions about the role and our company. If you are a visionary leader with a passion for learning and development, we invite you to join us in making the future work for everyone.
Accommodations
We are committed to providing an inclusive and accessible recruitment process for all candidates. If you require any additional accommodations or support due to a disability or other special circumstances, please let us know by contacting us. We will work with you to ensure your needs are met throughout the hiring process.
Requirements
- 3 years in software/AI engineering with strong Python skills.
- Experience with Azure AI / Azure OpenAI and orchestration of LLMs and APIs; familiarity with Power Platform.
- Understanding of enterprise BO systems or corporate processes (Finance/HR/Legal/Procurement).
- Comfort with rapid prototyping in lean, iterative environments.
- Fluent English.
- Experimental mindset, fast learner, pragmatic delivery.
- Strong collaboration with PMs, Solution Owners and architects.
- Clear communication and documentation; comfort with ambiguity.
- Communicate technical concepts to non-technical people.
Benefits & conditions
Are we the right fit for each other? Have a look at the traits we're looking for. (1 Beginner - 10 Expert)
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Putting people first - be that your colleagues, clients or customers 10
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Always willing to develop self and learn; you are curious and support a culture of continuous learning in order to evolve professionally 8
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Seeks to empower others and collaborate with a collective spirit 10
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Engages and connects with others in a meaningful and respectful way to achieve common goals 9
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Initiates activities and decision making; perseveres with courage and energy to drive results 8
Traits are on a scale of 0 to 10
Rewards
Flexibility to work in the way that makes you most productive
Autonomy to make insightful and informed decisions
Meaningful work that makes a difference to peoples lives
Continuous learning through our TAG U Academy, mentoring, and career paths that are diverse and dynamic
Specific local benefits and rewards tailored to each country (holiday allowances, health care and more).