AI Engineer
LEWIS
St. Louis, MO, United States
24 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Data Infrastructure
Python (Programming Language)
Automation of Marketing
Software Engineering
SQL Databases
Data Streaming
Large Language Models
Api Management
Job 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
Requirements
- 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
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