Work with a Top 20 CPA and advisory firm that Accounts for Anything. Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 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 Advisory team and you will help clients maximize their opportunities. Aprio Advisory Group, LLC is a progressive, fast-growing firm looking for a Senior Associate to join their dynamic team.
We are looking for an AI Strategy Senior Associate to join our Data & AI practice within Aprio's Technology Advisory group. In this role, you will help clients move from Data and AI ambition to applied, business-driven solutions: assessing where AI can create value, shaping the roadmap to get there, and building the proof-of-concept solutions and demos that demonstrate it. You will work at the intersection of business strategy, business analysis, and technical execution, partnering with clients across our transformation journey, from Assess & Strategize and Integrate & Modernize through Optimize & Build and Deploy & Scale. This role suits an early-career professional with applied AI experience who wants to stay hands-on with solution development while growing into client-facing advisory work.
This position is a heavy in person customer facing role that requires travel and interaction with customers across the US.
Responsibilities:
AI strategy and assessment
Conduct AI readiness assessments and data maturity evaluations that help clients understand their current capabilities and see where AI and automation can support value creation.
Translate business challenges into prioritized Data and AI use cases and help shape transformation roadmaps that align technology investments with client objectives.
Research emerging AI capabilities (large language models, machine learning, data management, generative AI, and agentic AI) and explain them in clear, accessible terms for non-technical stakeholders.
Solution design and delivery
Design and prototype agentic AI solutions across our core solution types: document processing and workflow automation; automated communication and prediction analytics; system integration and data synchronization; real-time external data validation; and business intelligence with work prioritization.
Build proof-of-concept solutions and demos that help business teams explore the potential of Data and AI and analytics approaches, applying a structured approach to comparing models and options so recommendations are well-reasoned.
Support SOW-based engagement delivery across discovery, kickoff, weekly status, and final delivery, contributing alongside the delivery team.
Responsible AI and governance
Help clients adopt AI responsibly, sustainably, and compliantly, building appropriate safeguards and monitoring into solution design.
Contribute to AI and data governance frameworks that promote responsible, sustainable, and compliant use of AI.
Client partnership
Act as a bridge between technical and business domains, the role our team calls a Data Translator / Business Engineer, turning technical detail into business value.
Partner with business stakeholders to understand their needs and help translate them into data- and AI-driven solutions.
Present concepts and findings to business audiences in clear language, including through workshops and working sessions.
Required Qualifications:
Bachelor’s or Master’s degree in Computer science, Data Science, Engineering, or a related quantitative field.
3+ years of applied AI, data management, or machine learning experience. Strong internship, research, or academic project work is welcome in place of full-time experience.
Hands-on experience building AI or machine learning solutions, including work with large language models, natural language processing (NLP), or agentic AI approaches.
Strong programming skills in Python, with experience using modern AI development tools.
Ability to move between technical detail and business value, and to communicate clearly with non-technical stakeholders.
Strong analytical and problem-solving skills, with a structured, well-tested approach to AI work.
Preferred Qualifications:
Experience with agentic or autonomous agent design and AI-assisted development workflows.
Exposure to taking AI or machine learning solutions beyond a notebook toward deployment, for example through a major cloud platform, containerization, or basic monitoring, gained via internships, research, or coursework.
Exposure to responsible AI practices such as model evaluation, explainability, and fairness or drift checks.
Familiarity with business intelligence tools (for example, Power BI or Tableau) and modern data platforms (for example, Snowflake, Databricks, or Spark).
Exposure to client business systems and ERPs (NetSuite, QBO/IES, Acumatica, or Sage) is a plus.
Interest in client-facing advisory work and a helpful, customer-oriented approach.