Aprio PH - AI Engineer

Aprio; Makati; Hybrid; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Wellness program

HMO coverage

Rewards and Recognition program

Free shuttle service (onsite)

Free lunch meal (onsite)

On-demand learning classes

Discretionary time off and holidays

Performance-based salary increase

Discretionary incentive compensation

Hybrid set up for selected roles

CPA & Certification Assistance

Job summary

Aprio is seeking an AI Engineer to join the Business Operations - Information Technology Team in the Philippines. You will design and deploy AI/ML solutions on Azure, build data pipelines, and collaborate with tax, audit, and advisory teams to identify impactful AI use cases.

You will lead in architecture, data modeling, and API integration, while mentoring junior engineers and staying current with AI advances. A hybrid work setup is available for selected roles.

Qualifications

• Proven experience in AI architecture, design, and deployment with Microsoft Azure Cloud Technologies, or similar.

Responsibilities

• Design and architect end-to-end AI/ML solutions aligned with business objectives and scalability requirements.
• Define overall architecture and data pipelines, selecting appropriate AI tools and frameworks for each project.
• Ensure best practices in security, scalability, and maintainability of AI systems.
• Build, test, and deploy AI models on Azure platforms (Azure ML, Cognitive Services, Azure Data Factory, Azure Synapse) or other industry solutions.
• Develop APIs and integration points for seamless data exchange between AI solutions and existing business systems (e.g., Dynamics 365, SharePoint, Power BI).
• Implement CI/CD pipelines, containerization (Docker, Kubernetes), and automated testing for deployment and monitoring.
• Establish MLOps practices for CI/CD, deployment, and monitoring of models.
• Collaborate with tax, audit, and advisory teams to identify AI use cases and translate requirements into technical specs.
• Stay current with AI advancements; develop PoCs and experiment with new techniques.
• Create documentation for AI models, data pipelines, and architecture; ensure privacy, security, and ethics.

Skills

AI architecture

Communication

Problem solving

Team collaboration

Analytical thinking

Prompt engineering

ML deployment

Data integration

Education

Bachelor’s degree in Computer Science, MIS, or similar

Azure certifications (Azure AI Engineer Associate)

Tools

Azure ML

Cognitive Services

Azure Data Factory

Azure Synapse

Azure Kubernetes Service

Power BI

Power Apps

Power Automate

Docker

Kubernetes

CI/CD

Job description

Job Description:

Work with a nationally ranked CPA and advisory firm that is passionate for what's next. Aprio has 30 U.S. office locations, one in the Philippines and more than 2,100 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio.

Join Aprio's Business Operations - Information Technology Team and you will help clients maximize their opportunities. Aprio is a progressive, fast-growing firm looking for a AI Engineer to join their dynamic team.

Job Responsibilities

• Design and architect end-to-end AI/ML solutions, ensuring they align with business objectives and scalability requirements.
• Define overall architecture and data pipelines, selecting appropriate AI tools and frameworks for each project.
• Ensure best practices are applied in security, scalability, and maintainability of AI systems.

Development & Deployment

• Build, test, and deploy AI and machine learning models on Azure platforms (Azure ML, Cognitive Services, Azure Data Factory, Azure Synapse), or other best of industry solutions.
• Develop APIs and integration points for seamless data exchange between AI solutions and existing business systems (e.g., Internal Systems/Databases, Microsoft Dynamics 365, SharePoint, Power BI).
• Implement CI/CD pipelines, containerization (Docker, Kubernetes), and automated testing to ensure efficient deployment and monitoring of AI models.

Cloud Infrastructure & MLOps

• Establish MLOps best practices for continuous integration, delivery, and monitoring of models.
• Optimize AI model performance for scalability and low latency in production.
• Implement solutions using infrastructure-as-code principles and tools to enhance reliability and scalability.

Collaboration & Consultation

• Work closely with tax, audit, and advisory teams to identify use cases where AI can add value.
• Translate domain requirements into technical specifications and AI solutions.
• Provide technical guidance and mentorship to junior AI engineers and developers.

Research & Continuous Improvement

• Stay current with advancements in AI.
• Experiment with and implement new AI techniques and tools to enhance service offerings.
• Develop Proof of Concepts (POCs) for innovative AI solutions.

Documentation & Support

• Create and maintain comprehensive documentation for AI models, data pipelines, and system architecture.
• Ensure AI solutions comply with data privacy, security policies, and ethical AI guidelines.
• Provide training and support to other developers and end-users to increase AI literacy.

Qualifications

• Proven experience in AI architecture, design, and deployment with Microsoft Azure Cloud Technologies, or similar industry best technologies (Azure ML, Cognitive Services, Azure Data Factory, Azure Kubernetes Service, etc.).
• Proficiency in programming languages such as C#, Python, R, or JavaScript.
• Strong understanding of machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn).
• Familiarity with Microsoft Power Platform (Power BI, Power Apps, Power Automate) and integrating AI models with these tools.
• Experience with DevOps tools and practices including CI/CD, containerization (Docker, Kubernetes), and automated testing.
• Knowledge of data architecture, databases, and data lakes (SQL, NoSQL, Azure Synapse, etc.).
• Knowledge and experience with vector databases or knowledge bases for retrieval-augmented generation.
• Knowledge and experience of prompt engineering and fine-tuning large models.

Soft Skills

• Excellent analytical, problem-solving, and decision-making abilities.
• Strong communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.
• Collaboration and teamwork skills with a proactive, innovative mindset.

Preferred Skills

• Bachelor’s degree in Computer Science, MIS, or similar.
• Prior AI experience is a major plus.
• Experience with Automation tools such as UiPath or Blue Prism.
• Previous experience in the Accounting Technology Industry.
• Certifications in Microsoft Azure (e.g., Azure AI Engineer Associate).
• Experience with generative AI frameworks such as LangChain or Semantic Kernel

Perks/Benefits We Offer For Full-time Team Members

• Wellness program
• HMO coverage
• Rewards and Recognition program
• Free shuttle service (provided by CDC | for onsite employees)
• Free lunch meal (For onsite employees)
• On-demand learning classes
• Discretionary time off and Holidays
• Performance-based salary increase
• Discretionary incentive compensation based on client or individual performance
• Hybrid set up to selected roles/location, terms and conditions may apply
• CPA & Certification Assistance and Bonus Program

What's In It For You

• Working with an industry leader: Be part of a high-growth firm that is passionate for what's next.
• A great team: Work with a high-energy, passionate, caring, and ambitious team of professionals in a collaborative culture.
• Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement.
• Competitive compensation: You will be rewarded with competitive compensation.

EQUAL OPPORTUNITY EMPLOYER

Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.