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
Taguig
Equal Employment Opportunity Statement for Australia and New Zealand
At Accenture, we recognise that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day.
Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need.
We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require any accommodations or adjustments for interviews and/or at work, please reach out to exectalent@accenture.com or contact us at +61 2 9005 5000 (Australia) or +64 44666056 (New Zealand).
To ensure our workplace is inclusive and diverse we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.
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 work.
At 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 www.accenture.com.