Associate, AI Solutions Engineering

About the Role

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.

Key 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.

Requirements & Tech Stack

• 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.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems or a related field.

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.