Principal AI Engineer

We are currently sourcing for a Principal AI Engineer to work in Covington, KY!

Principal AI Engineer

This is a unique Greenfield opportunity to help build a brand-new AI engineering organization focused on delivering innovative AI solutions that enhance the advisor and client experience.

The team's mission is to leverage artificial intelligence, automation, advanced analytics, and large language models (LLMs) to tackle real business problems, streamline advisor workflows, reduce administrative overhead, and help advisors spend more time delivering value to clients.

The Expertise You Bring

As an early member of this organization, you will play a key role in shaping technical direction, influencing engineering best practices, and delivering AI-powered solutions from concept through production. This position offers the opportunity to work directly with business leaders, product teams, architects, data scientists, and engineers to identify high-value use cases and build secure, scalable, enterprise-grade AI capabilities that drive measurable business outcomes.

This role is ideal for a hands-on Principal Engineer who thrives at the intersection of AI, data engineering, cloud architecture, and product innovation. Successful candidates will possess the technical depth to architect and build complex solutions while also working closely with business stakeholders to translate emerging AI capabilities into practical applications.

Example Use Cases

Representative initiatives may include developing AI-powered capabilities that improve advisor effectiveness and client engagement, such as:

• Automated meeting preparation and research
• Intelligent call summarization and insight generation
• Automated follow-up and workflow orchestration
• Knowledge retrieval and recommendation systems
• AI-assisted decision support and productivity tools
• Workflow automation leveraging enterprise data sources and communication channels

The Skills You Bring

• Bachelor's degree or equivalent experience with 8+ years of software engineering experience, or a Master's degree with 6+ years of experience.
• Proven experience designing and delivering scalable, production-grade software solutions and distributed systems.
• Deep expertise building AI-powered applications utilizing large language models (LLMs), agent frameworks, and orchestration platforms (e.g., OpenAI, Claude, Bedrock, LangChain, LangGraph).
• Experience developing Retrieval-Augmented Generation (RAG) solutions, semantic search capabilities, and enterprise knowledge systems leveraging vector databases and retrieval frameworks.
• Strong full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js.
• Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.
• Experience with modern platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.
• Strong understanding of software architecture, design patterns, security, and reliability principles for enterprise-scale applications.
• Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.
• Ability to collaborate effectively across engineering, data, product, and business teams while driving initiatives from concept to production.

Ultimately, I need a hands-on Principal Engineer who combines GenAI/LLM expertise, modern data engineering, and cloud architecture skills to identify business problems and deliver production AI solutions that improve advisor productivity, automate workflows, and create measurable business outcomes.