Aprio PH - AI Engineer

NextGenEnergyJobs; Philippines; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

NextGenEnergyJobs seeks a senior AI Architect to design and deploy end-to-end AI/ML solutions on Microsoft Azure. You will define architecture, data pipelines, and integration points with business systems like Dynamics 365, SharePoint, and Power BI.

The role emphasizes security, scalability, and maintainability while advancing AI capabilities across advisory services. The ideal candidate will lead AI projects, mentor junior engineers, and stay at the forefront of AI techniques, including

Qualifications

• Experience designing AI architectures and deploying on Microsoft Azure cloud
• Strong knowledge of ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Familiarity with Power Platform and integrating AI models with Power BI/Apps/Automate
• Proficient in DevOps practices including CI/CD and automated testing
• Understanding of data architectures, data lakes (SQL/NoSQL, Azure Synapse)
• Experience with vector databases or retrieval-augmented generation
• Knowledge of prompt engineering and fine-tuning large models
• Excellent analytical, problem-solving, and communication skills
• Ability to mentor junior AI engineers and developers
• Prior AI experience in accounting tech is a plus

Responsibilities

• Design end-to-end AI/ML solutions aligned with business objectives
• Define architecture and data pipelines; select AI tools/frameworks
• Ensure security, scalability, and maintainability of AI systems
• Build, test, deploy AI/ML models on Azure or industry-standard platforms
• Develop APIs and integration points with existing systems (Power BI, Dynamics 365, SharePoint)
• Implement CI/CD pipelines, containerization (Docker, Kubernetes), automated testing
• Establish MLOps practices for CI/CD, delivery and monitoring
• Optimize model performance for production latency and scale
• Adopt infrastructure-as-code to improve reliability and scalability
• Collaborate with tax, audit, and advisory teams to identify AI use cases
• Translate domain requirements into technical specifications and AI solutions
• Provide mentorship and training to junior engineers
• Stay updated with AI advancements and experiment with new techniques
• Create PoCs and document AI models, data pipelines, and architecture

Skills

AI architecture

Azure

ML frameworks

CI/CD

Docker

Kubernetes

Power Platform

Data architecture

Vector databases

Prompt engineering

LangChain

Semantic Kernel

API design

MLOps

Security best practices

Azure Synapse

Education

Bachelor’s degree in Computer Science or MIS

Tools

Azure ML

Cognitive Services

Azure Data Factory

Azure Kubernetes Service

UiPath

Blue Prism

LangChain

Semantic Kernel

Job description

Work with a nationally ranked CPA and advisory firm that is passionate for what's next.

Key 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Requirements

• 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.).
• 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.
• 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.
• 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.
• Experience with generative AI frameworks such as LangChain or Semantic Kernel