AI Engineer

The AI Engineer works closely with stakeholders to translate business requirements into secure scalable and maintainable AIdriven solutions. With deep expertise in software engineering and applied artificial intelligence you will design build and operate applications services and automations that leverage AzureAI Services and other cuttingedge technologies to maximize internal productivity at IFS. 
 
You will validate solution architectures with the IT Solution Architect (AI) throughout design and implementation cycles ensuring alignment with IFS IT architecture standards governance and security best practices. 

Key Responsibilities 

• Analyze business requirements and translate them into AI-driven technical specifications and solution designs. 

• Design develop test and deploy AI-enabled applications APIs and workflows using Azure AI Foundry Azure OpenAI Azure Cognitive Search and related Azure AI Service capabilities. 

• Configure fine-tune and optimize vector search embeddings and retrieval-augmented generation (RAG) pipelines leveraging vector databases. 

• Build and maintain secure RESTful endpoints that expose AI capabilities to internal products and services adhering to web development security best practices. 

• Implement MLOps practices for versioning deployment monitoring and continuous improvement of models and prompts using Azure DevOps/GitHub Actions Azure Pipelines. 

• Leverage Azure Compute services (Azure App Service Azure Functions) deploy and scale AI applications. 

• Create and maintain data pipelines and data sources in Azure. 

• Document designs implementations processes and procedures; keep knowledge bases up to date. 

• Monitor cloud costs and analyze service choices to ensure cost-efficient use of Azure resources. 

• Provide advanced technical support and problem resolution for AI platforms and integrations including proactive monitoring and incident response. 

• Stay informed of IFS IT standards security requirements and architecture frameworks to ensure compliant and robust AI service delivery. 

• Contribute to IT service delivery improvements by actively participating in agile ceremonies and assigned projects. 

Skills & Competencies 

• Deep understanding of large-language models (LLMs) NLP concepts embeddings vector databases and prompt engineering. 

• Hands-on expertise with Azure AI Services (Azure OpenAI Cognitive Search Azure AI Foundry) and related SDKs. 

• Strong software-engineering skills in languages such as Python JavaScript/TypeScript () or C#/.NET with experience building production APIs and services. 

• Familiarity with frameworks such as LangChain Semantic Kernel or Azure OpenAI SDK for orchestrating conversational and RAG workflows. 

• Solid knowledge of cloud-native and service-oriented architectures including security and authentication standards (OAuth 2.0 Managed Identities token-based auth). 

• Experience with Azure Compute Azure Storage for cloud app development. 

• Familiarity with modern web development frameworks and libraries (React ExpessJS FastAPI etc) to build lightweight web interfaces when needed. 

• Strong data-engineering and analysis skills; proficiency with SQL (Azure SQL) and NoSQL (Cosmos DB) and experience with vector-capable databases. 

• Experience with DevOps and MLOps pipelines (Azure DevOps GitHub Actions Azure Pipelines Docker) for continuous integration delivery and monitoring. 

• Proficiency in scripting and automation (PowerShell Bash Azure CLI)  to enhance developer productivity. 

• Knowledge of CI/CD best practices with Git branching strategies and release management. 

• Experience building interactive dashboards or reports using tools like Power BI or similar platforms is a plus. 

• Excellent verbal and written communication skills in English; able to convey complex AI concepts to technical and non-technical audiences. 

• Analytical problem-solving mindset with the ability to work effectively in distributed and cross-functional teams. 

• Energy curiosity and a passion for continuous learning in the rapidly evolving AI landscape. 

Qualifications :

• Education: Bachelors degree in Computer Science Artificial Intelligence Data Science Information Technology or a related field (or equivalent experience). 

• Certifications (preferred): 

•   - Microsoft Certified: Azure AI Engineer Associate (AI102) 

•   - Microsoft Certified: Azure Developer Associate (AZ204) 

•   - ITILFoundation certification 

Experiences : 

• 3 - 5 years of professional software-engineering experience with 2 years focused on architecting and delivering AI/ML solutions on Azure Cloud. 

• Proven track record integrating generative-AI capabilities (LLM APIs RAG pipelines vector search solutions) into enterprise applications and workflows. 

• Hands-on experience with Azure AI services (Azure OpenAI Cognitive Search AI Foundry) vector databases  and  building data pipelines. 

• Demonstrated ability to design and maintain secure scalable APIs and microservices using Python or C#/.NET following web security best practices. 

• Experience applying MLOps/DevOps practicesincluding automated testing CI/CD (Azure DevOps/GitHub Actions) containerization (Docker). 

• Familiarity with front-end frameworks (React) for building lightweight user interfaces and integrating seamlessly with AI back-ends. 

• Experience monitoring and optimizing Azure resource costs using Azure Cost Management and performance profiling tools. 

• Evidence of strong technical leadership mentoring and collaboration in distributed cross-functional teams. 

Additional Information :

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

Remote Work :

No

Employment Type :

Full-time