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Lead AI Engineer

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 Information Technology team and you will help clients maximize their opportunities. Aprio is a progressive, fast-growing firm looking for a Lead AI Engineer to join their dynamic team.Position Responsibilities:• Solution Design & Architecture: 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.Technical 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.Other 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.Education & Experience:• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.• 5+ years of experience in AI/ML development, architecture, and deployment.• 3+ years of experience working with Microsoft Azure technologies preferred.• Certifications in Microsoft Azure (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, or Azure Data Scientist Associate) preferred.• Experience with AI governance, ethics, and compliance in enterprise environments preferred.• Experience with generative AI frameworks and tools such as LangChain, Semantic Kernel, or other LLM orchestration tools preferred.• Experience in the accounting or financial services industry is a plus.$115,000 - $150,000 a yearThe salary range for this opportunity is stated above. As such, an actual salary may fall closer to one or the other end of the range, and in certain circumstances, may wind up being outside of the listed salary range.The application window is anticipated to close on July 17th and may be extended as needed.Why work for Aprio:Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm.Perks/Benefits we offer for full-time team members:- Medical, Dental, and Vision Insurance on the first day of employment- Flexible Spending Account and Dependent Care Account- 401k with Profit Sharing- 9+ holidays and discretionary time off structure- Parental Leave - coverage for both primary and secondary caregivers- Tuition Assistance Program and CPA support program with cash incentive upon completion- Discretionary incentive compensation based on firm, group and individual performance- Incentive compensation related to origination of new client sales- Top rated wellness program- Flexible working environment including remote and hybrid optionsWhat's in it for you:- Working with an industry leader: Be part of a high-growth firm that is passionate for what's next.- An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience. We call it the Aprio Way. This shared mindset creates lasting relationships between team members and with clients.- A great team: Work with a high-energy, passionate, caring and ambitious team of professionals in a collaborative culture.- Entrepreneurship: Have the freedom to innovate and bring your ideas to help us grow to become the CPA firm of choice nationally.- Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement.- Competitive compensation: You will be rewarded with competitive compensation, industry-leading benefits and a flexible work environment to enjoy work/life balance.EQUAL OPPORTUNITY EMPLOYERAprio 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.Aprio, LLP and Aprio Advisory Group, LLC, operate in an alternative business structure, with Aprio Advisory Group, LLC providing non-attest tax and consulting services, and Aprio, LLP providing CPA firm services.Apply for this job

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What You Should Know About Lead AI Engineer, Aprio

Are you ready to take the lead as a Lead AI Engineer with Aprio, a nationally ranked CPA and advisory firm based in Raleigh, NC? Join a team that not only values innovation but thrives on it! At Aprio, we are committed to providing our clients with the best tools and strategies for the fast-paced world of business. As the Lead AI Engineer, you'll be responsible for designing and implementing cutting-edge AI/ML solutions that truly align with our clients' business goals. Your expertise in Microsoft Azure technologies will help us build and deploy powerful AI models that integrate seamlessly with existing systems like Microsoft Dynamics 365 and Power BI. You’ll collaborate closely with tax, audit, and advisory teams to ensure we maximize AI's potential in all projects. Not only will you engage in solution architecture and development, but you'll also be a mentor for junior engineers, fostering a collaborative and innovative work environment. At Aprio, we believe in continuous improvement, encouraging you to stay ahead in the AI field by exploring new techniques and tools. If you're passionate about AI and seeking a place where you can truly make an impact, come discover boundless growth opportunities, a supportive culture, and a forward-thinking spirit with us!

Frequently Asked Questions (FAQs) for Lead AI Engineer Role at Aprio
What are the primary responsibilities of a Lead AI Engineer at Aprio?

As a Lead AI Engineer at Aprio, you'll be responsible for the design and architecture of AI/ML solutions tailored to meet business objectives. Your role encompasses building, testing, and deploying models on Azure platforms, establishing MLOps best practices, and ensuring scalability and security. Additionally, you'll collaborate closely with various teams to identify AI opportunities, provide mentorship to junior engineers, and document comprehensive AI solutions.

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What qualifications are required to become a Lead AI Engineer at Aprio?

To qualify for the Lead AI Engineer position at Aprio, candidates should possess at least a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with over 5 years of experience in AI development and architecture. Proficiency in Microsoft Azure technologies, programming languages like Python or C#, and familiarity with machine learning frameworks are essential. Certifications in Microsoft Azure are preferred, alongside a strong understanding of data architecture and DevOps practices.

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How does Aprio support employee training and development for a Lead AI Engineer?

Aprio is deeply committed to professional growth. As a Lead AI Engineer, you'll benefit from structured learning paths, mentorship programs, and hands-on experiences that encourage innovation and continuous improvement. The firm also provides tuition assistance and CPA support, ensuring you have the resources needed to advance your career and stay ahead in the dynamic AI landscape.

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What technologies are essential for a Lead AI Engineer at Aprio?

A Lead AI Engineer at Aprio should be well-versed in various technologies, particularly Microsoft Azure services like Azure ML, Cognitive Services, and Azure Data Factory. Expertise in programming languages such as Python, R, or C# is crucial, alongside experience with machine learning libraries like TensorFlow or PyTorch. Knowledge of DevOps practices, containerization with Docker or Kubernetes, and data architecture principles are also vital.

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What is the work environment like for a Lead AI Engineer at Aprio?

The work environment at Aprio for a Lead AI Engineer is characterized by collaboration, creativity, and flexibility. You'll work in a dynamic atmosphere with a supportive team that embraces innovation. Aprio offers flexible working arrangements, including remote and hybrid options, fostering a balance between personal and professional life while allowing you to thrive in your role.

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Common Interview Questions for Lead AI Engineer
Can you describe a time when you successfully implemented an AI solution?

When answering this question, be specific about the project details, the technologies you used, and how your solution aligned with the business goals. Highlight your role in the design, development, and deployment phases and include quantifiable results to showcase the impact of your work.

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What tools and frameworks do you prefer for AI/ML model deployment?

Discuss your favorite tools, such as Azure ML, TensorFlow, or PyTorch, and explain why you prefer them. Mention your experience with deployment strategies like CI/CD and MLOps practices, and how these tools integrate seamlessly into your workflow while enhancing model performance.

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How do you ensure the ethical use of AI in your projects?

In your response, articulate the importance of ethical guidelines and compliance in AI deployment. Discuss techniques you've used to evaluate biases in your models, and how transparency and accountability are integrated into your processes to align with industry standards.

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What experience do you have with AI models in financial services?

Share specific examples of AI projects you've worked on in the financial sector, emphasizing the challenges faced and solutions implemented. Discuss how these experiences have prepared you for the role at Aprio and the unique requirements of the accounting industry.

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How do you approach collaborating with non-technical stakeholders?

Explain your strategy for translating complex technical jargon into accessible terms. Provide examples of how you've successfully communicated AI concepts to non-technical teams, ensuring understanding and buy-in for AI solutions.

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What best practices do you follow for AI model performance optimization?

Discuss specific strategies for optimizing model performance, including hyperparameter tuning, regularization techniques, and evaluating model accuracy. Highlight any tools or techniques you use to monitor model performance in production.

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Describe your experience with Continuous Integration/Continuous Deployment (CI/CD) in AI projects.

Detail your hands-on experience with CI/CD pipelines in AI, explaining the importance of automated testing and deployment. Provide examples of tools you've used and how they have improved your workflow and deployment success.

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What role does documentation play in your AI development process?

Emphasize the importance of comprehensive documentation for AI projects. Discuss how you maintain documentation for models, data pipelines, and architecture, ensuring that your work is reproducible and accessible for future teams.

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How do you stay updated on AI trends and advancements?

Discuss your methods for continuous learning in the AI space, such as attending workshops, online courses, and participating in relevant communities. Highlight recent developments you've been excited about and how they could impact your work at Aprio.

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What is your experience with mentoring junior engineers?

Share examples of how you've mentored junior team members, focusing on your mentoring approach and the impact it had on their development. Highlight any specific training programs you’ve implemented to foster growth in your team.

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Aprio’s mission is to invest in our clients’ success by investing in our own. Through this mission, we are growing a premier firm where individual differences are celebrated and prosperous associates serve prosperous clients nationally and global...

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April 18, 2025

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