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# AI Solutions Manager

- **Company:** Insight Global
- **Location:** St. Louis, MO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Frameworks, Python (Programming Language), Software Product Management, SQL Databases, Deployment Automation, Machine Learning Operations
- **Published:** June 20, 2026
- **Apply:** https://www.juju.com/job/00000000g9ntt8

## About the Role

5+ years of experience as an AI Engineer, ML Engineer, and/or Data Scientist with the ability to architect and implement production-grade AI/ML pipelines

Expertise in defining deployment strategies, success metrics, and integrating solutions into client environments with minimal disruption.

Strong programming and system design experience to create scalable, reusable AI components from scratch in Python and/or other languages

Hands on development experience creating SQL queries from scratch -

## Description

An AI company is looking for an AI Solutions Manager for greenfield product development. They will be building industry-specific AI solutions (Healthcare, BFSI) from scratch. The goal is to create reusable frameworks that the company can coinvest in with pilot customers. This team is building a "start up" within the company to be the AI brains of Perficient. They are hiring the smartest, most creative, "out of the box" thinkers, and passionate AI individuals to join their "incubator" team. This will be an "incubator" filled with AI engineers, AI Product Managers, etc. that will research and brainstorm the latest and greatest AI technologies and services so that they can recommend what Perficient should go to market with. There will be a lot of brainstorming, prototyping, and fun conversations. Personality is KEY here. They will also be joining customer meetings as the technical POC to help solve customers' problems.The day to day will be 60% Hands-on Engineering: Building
production-grade AI/ML pipelines and reusable frameworks, 20% Forward Deployed Engineering: Working directly with pilot customers to validate the solution and integrate real-world feedback, 20% Architecture & Strategy: Designing for scalability-turning a specific client solution into a reusable product.

 - Translate business goals into actionable engineering backlogs

 - Guide FDEs (Full-Stack Development Engineers) to execute the solution vision

 - Manage deployment strategy and define success criteria

 - Drive user adoption and oversee change management initiatives

 - Bridge communication between client stakeholders and engineering teams

 - Ensure engineering output is consistently aligned with business value

 - Accelerate adoption of agentic workflows across the organization

 - Enable a seamless transition from development to consumption

 - Maximize ROI from engineering resources


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