Microsoft Azure AI Engineer

While not all qualifications are mandatory, a strong mix of the listed skills and experiences will help you succeed in this role. A Microsoft Azure AI Engineer is responsible for designing, developing, and deploying intelligent solutions using Azure Machine Learning and Azure Cognitive Services. This role focuses on leveraging prebuilt AI capabilities and custom machine learning workflows to build scalable, secure, and responsible AI applications that meet business needs. Job Responsibilities AI Solution Development Design and implement AI solutions using Azure Machine Learning, Azure AI Studio, and Azure AI Services. Build and deploy Python-based machine learning models using Azure ML pipelines and SDKs. Integrate prebuilt AI capabilities (Vision, Language, Speech, Document Intelligence) into enterprise applications. Collaboration & Business Alignment Work closely with data engineers, analysts, and business stakeholders to translate business requirements into AI-driven solutions. Participate in solution architecture discussions to ensure alignment with enterprise standards and scalability. Responsible AI & Governance Apply Responsible AI principles, ensuring fairness, transparency, and accountability in AI models. Ensure compliance with data privacy, security, and governance standards across AI workloads. Monitoring & Optimization Monitor AI workloads using Azure Monitor, Application Insights, and MLOps best practices. Continuously optimize model performance, cost-efficiency, and reliability. Job Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. Experience in designing and deploying AI/ML solutions on Azure. Proficiency in Python and Azure SDKs for machine learning and cognitive services. Strong understanding of AI/ML fundamentals, including model training, evaluation, and deployment. Familiarity with cloud-native development and CI/CD practices for ML workflows. Excellent communication and collaboration skills. Preferred Skills Experience with Azure AI Studio, Azure ML Designer, and AutoML. Knowledge of MLOps practices and tools such as MLflow, Azure DevOps, or GitHub Actions. Microsoft certifications (e.g., Azure AI Engineer Associate) are a plus. Familiarity with Power BI for integrating AI insights into dashboards. #LI-PH About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change. Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.