The Role
Design, build, deploy, and maintain scalable AI and machine learning solutions on Azure. Develop data pipelines, APIs, integrations, CI/CD workflows, containerized deployments, and MLOps practices. Collaborate with tax, audit, and advisory teams to identify AI use cases, develop proofs of concept, optimize production models, document solutions, and ensure privacy, security, and ethical AI compliance. Mentor junior engineers and provide training and support to improve AI literacy.
Summary Generated by Built In
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.
- 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.
Solution Design & Architecture:
Development & Deployment:
Cloud Infrastructure & MLOps:
Collaboration & Consultation:
Research & Continuous Improvement:
Documentation & Support:
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.
- 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.
- Certifications in Microsoft Azure (e.g., Azure AI Engineer Associate).
- Experience with generative AI frameworks such as LangChain or Semantic Kernel
Soft Skills:
Preferred Skills:
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.
Skills Required
- Experience designing and deploying AI architecture and machine learning solutions using Microsoft Azure technologies, including Azure ML, Cognitive Services, Azure Data Factory, or Azure Kubernetes Service
- Proficiency in C#, Python, R, or JavaScript
- Understanding of machine learning frameworks and libraries such as PyTorch, TensorFlow, or scikit-learn
- Familiarity with Microsoft Power Platform, including Power BI, Power Apps, and Power Automate, and integrating AI models with these tools
- Experience with DevOps practices, CI/CD, Docker, Kubernetes, and automated testing
- Knowledge of data architecture, databases, data lakes, SQL, NoSQL, or Azure Synapse
- Knowledge and experience with vector databases or knowledge bases for retrieval-augmented generation
- Knowledge and experience with prompt engineering and fine-tuning large models
- Excellent analytical, problem-solving, and decision-making abilities
- Strong communication, collaboration, and teamwork skills
- Bachelor’s degree in Computer Science, MIS, or a similar field
- Prior AI experience
- Experience with UiPath or Blue Prism
- Previous experience in the accounting technology industry
- Microsoft Azure certification, such as Azure AI Engineer Associate
- Experience with generative AI frameworks such as LangChain or Semantic Kernel
Aprio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aprio and has not been reviewed or approved by Aprio.
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Fair & Transparent Compensation — Pay is generally positioned as competitive and fairly paid across many roles, with clearer benchmarking helped by public job-posted ranges and compensation aggregators.
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Healthcare Strength — Health, dental, and vision coverage is positioned as comprehensive and available from day one for full-time hires, which is stronger than the more typical waiting-period approach.
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Retirement Support — Retirement offerings include a 401(k) with profit sharing and access to FSA/Dependent Care accounts, which can improve total rewards when firm performance supports contributions.
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The Company
What We Do
Aprio is a premier CPA and business advisory firm that advises clients and associates on how to achieve what’s next. Aprio’s associates work as integrated teams across advisory, assurance, tax, outsourcing, staffing and private client services, bringing the best thinking and personal commitment to each client. Across practices, Aprio brings together proven expertise, deep understanding and strategic foresight for industries including Manufacturing and Distribution; Non-Profit and Education; Professional Services; Real Estate and Construction; Retail, Franchise and Hospitality; and Technology and Blockchain. Headquartered in Atlanta, Georgia, Aprio has grown to over 1,000+ team members. To serve clients wherever life or business may take them, Aprio’s teams speak more than 30 languages and work with clients in over 50 countries.
