> Markdown version of [/jobs/ext/4416616-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4416616-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer

- **Company:** LEWIS
- **Location:** St. Louis, MO, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Infrastructure, Python (Programming Language), Automation of Marketing, Software Engineering, SQL Databases, Data Streaming, Large Language Models, Api Management
- **Published:** October 13, 2026
- **Apply:** https://www.thejobnetwork.com/job/99da03b1-63e0-4112-a542-87c5cb6782b0/ai-engineer

## About the Role

* 3-7 years of experience in management consulting, technology implementation, or private equity value creation and portfolio company operations
 * Hands-on experience with modern data tools, automation platforms, and AI/LLM workflows with a track record of building and deploying solutions, not just evaluating them
 * Experience working in code (Python, SQL, or similar) at a scripting level and ability to build and configure solutions independently, including API integrations, automation workflows, and no-code / low-code platforms. This is not a software engineering role and deep coding expertise is not required.
 * Experience in private equity-backed or multi-company environments strongly preferred

Core Competencies

 * Strong business acumen with the ability to quickly understand complex business models, products, and operational challenges
 * Strong listening skills and the ability to diagnose problems and synthesize inputs quickly
 * Execution-oriented mindset with comfort moving from idea to implementation
 * Systems thinking and the ability to understand how processes, data flows, and tools connect across a business
 * Deep curiosity about technology and AI, with practical judgment to distinguish high-impact opportunities from hype
 * Technical self-sufficiency, with the ability to scope, build, and troubleshoot solutions independently across a range of tools and platforms
 * Proven project management skills with the ability to manage multiple initiatives across different companies simultaneously
 * Executive presence and confidence working with senior leadership teams
 * Adaptability and comfort working in ambiguous, fast-moving environments

## Description

Lewis & Clark Capital is a family office investing in and partnering with lower middle market businesses across a range of industries. We are seeking a highly motivated Value Creation professional to work directly with portfolio company leadership teams to drive operational improvements, process automation, and the practical adoption of software, data, and AI-enabled workflows.

This role sits at the intersection of strategy, operations, and technology, with a mandate to identify and execute initiatives that create measurable value across our portfolio.

Key Responsibilities

 * Partner with Lewis & Clark team members and portfolio company executives to identify and prioritize value creation opportunities across operations, data, and technology
 * Translate business problems into practical, implementable solutions using modern tools and technologies
 * Lead and support initiatives spanning workflow optimization, process automation, and data infrastructure, reporting, and analytics
 * Evaluate emerging software and AI-enabled tools and platforms, distinguishing high-impact applications from low-value noise
 * Develop and implement practical solutions, building lightweight and scalable tools that drive adoption within portfolio companies
 * Serve as a thought partner to management teams on operational strategy and technology adoption
 * Manage multiple projects across companies, balancing strategy development with hands-on execution
 * Track and communicate the impact of initiatives to internal stakeholders
 * Document and share learnings across portfolio companies to build repeatable playbooks, * Identifying and executing on high-impact, practical opportunities across portfolio companies
 * Driving measurable improvements in efficiency, cost, and growth
 * Building and deploying solutions that are adopted and sustained over time
 * Helping portfolio companies adopt modern tools without over-engineering solutions
 * Developing a repeatable playbook for how L&CC approaches AI and technology implementation across the portfolio
 * Becoming a trusted partner to management teams and internal stakeholders