AI / Azure Foundry Engineer (Azure AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI / Azure Foundry Engineer (Azure AI): Design and build intelligent automation solutions leveraging Azure AI Foundry and Python for Payroll and Products with an accent on model orchestration, vector search, secure prompt pipelines, and agentic automation. Focus on developing reusable AI components, establishing governance standards, and integrating with enterprise systems through APIs and microservices.
Location: Hybrid (offices in Europe and Mauritius)
Company
Leading European provider of Payroll & HR services with global reach.
What you will do
- Design and build automation solutions using Azure AI Foundry, including model orchestration, vector search, and evaluation tooling.
- Develop Python-based AI services integrated with Foundry workflows, AI hubs, models, and datasets.
- Create reusable AI components, best-practice patterns, and guidelines for prompt design, model governance, and safe deployment.
- Deliver end-to-end intelligent automation for repetitive processes like document understanding, NLP workflows, RAG, and agentic automation.
- Integrate AI solutions with enterprise systems via secure APIs, microservices, and Python scripts; build data pipelines for ingestion and embeddings.
- Collaborate with Payroll and Product SMEs to identify opportunities, translate requirements, and communicate AI concepts to non-technical audiences.
Requirements
- Degree in Computer Science, Software Engineering, Data Science or related field.
- At least 6 years of software engineering experience and 3 years delivering AI/ML solutions in production/enterprise environments.
- Proven experience with Azure AI Foundry or comparable Azure AI/ML platforms.
- Follow engineering standards: feature branches, unit tests, Azure Key Vault for secrets, Managed Identity authentication, responsible AI guardrails.
- Actively engage with SMEs, communicate AI limitations/risks, share patterns, escalate blockers early.
Nice to have
- Experience leading AI architecture discussions and performance optimization.
Culture & Benefits
- Comprehensive training, language courses, individual development plans, professional training.
- Flexible working schedule, 25 vacation days, 18 hours for personal matters, reduced summer hours (36h/week for 4 weeks).
- Private medical insurance 100% covered, Edenred flexible benefits (meal/transport vouchers).
- Laptop and equipment provided, workation from any EU location (4 weeks/year).
- Career growth opportunities in expertise or horizontal expansion; diversity and inclusion embraced.
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