Associate - AI Solutions Engineering - Managed Services

Overview

BTVK Advisory is a leading advisory firm whose specialized professionals guide clients through an ever-changing business world, helping them win now and anticipate tomorrow. BTVK Advisory, and its affiliated entities, have operations in North America, South America, Europe, Asia, and Australia. BTVK Advisory’s ultimate parent entity, Baker Tilly US, LLP, is an independent member of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion.

Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law.

To be added to all ET through Experienced requisitions Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system.

Job Description:

Responsibilities:

Build working prototypes from loosely defined ideas, with enough polish for a business audience and enough substance for a technical one. Package existing firm solutions, including automation AI solutions from existing practices, into demonstrations and case stories using representative data. Present work to business leaders, internal teams and prospective clients in support of the pursuit lead. Run time-boxed proofs of concept with a defined question, a success criterion and a written recommendation. Build and maintain reusable scaffolding and demonstration environments so each prototype is faster to produce than the last. Hand off funded prototypes so another engineer can build them to production under platform standards. Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems or a related field. Strong Python and full-stack prototyping skills, with the ability to put a working interface in front of a user quickly. Cloud fundamentals on Azure or AWS, including compute, storage, networking, identity, containers and CI/CD, sufficient to stand up a demonstration environment independently. Working knowledge of REST APIs, JSON, authentication concepts and SQL. Breadth across the current AI stack: retrieval-augmented generation, agents and orchestration, tool calling, structured outputs, document processing and vector search. Enough evaluation discipline to judge whether a prototype is viable or performed well by chance. Sound data handling practices, including the use of synthetic or masked data in demonstrations. Strong presentation and storytelling skills with both business and technical audiences. Responsiveness to short pursuit timelines. Good to have:

Prior solutions engineering, pre-sales or innovation lab experience. Familiarity with automation platforms such as UiPath / Power Automate and demonstration interfaces as React / Streamlit. Relevant Microsoft Azure or AWS certifications.