Principal AI Engineer – AI Acceleration & Enterprise Enablement
Agentic Ai
Ai Agent
Ai Agent Platform
Ai Platform
Ai Security
Artificial Intelligence
Artificial Intelligence Engineer
Azure
Azure Ai
Azure Ai Services
Azure Openai
Cloud Data Engineering
Cloud Data Platform
Cloud Engineer
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data Analysis
Data Engineer
Data Engineering
Data Pipeline
Data Processing
Data Science
Engineer
Generative AI
Large Language Models
Machine Learning
Openai
Project Management
Rag Architectures
Software Development
Job Description
The Principal AI Engineer will serve as a senior individual contributor focused on accelerating enterprise adoption of AI. This role blends hands-on engineering with technical leadership to find high-value AI opportunities and deliver secure, scalable, production-ready solutions across business and technology teams.
Key Responsibilities
- Design, build, and deliver enterprise AI and Generative AI solutions from concept through production.
- Develop scalable AI solutions using Python, APIs, pipelines, and cloud AI services.
- Build solutions for complex structured and unstructured information, including document intelligence, data extraction, and workflow automation.
- Apply LLMs, Agentic AI, RAG, and prompt engineering to appropriate business use cases.
- Create reusable AI frameworks, accelerators, components, and integration patterns that improve delivery speed and consistency.
- Partner with engineering, product, architecture, security, and business teams to evaluate where AI is the right solution and design practical approaches for an enterprise environment.
- Establish strong engineering practices across testing, security, software quality, scalability, and deployment.
- Provide technical leadership, mentor engineering teams, and support the expansion of AI engineering capabilities across the organization.
Required Qualifications
- Bachelor's degree, or equivalent work experience.
- Eight (8) or more years of relevant experience.
Technology Focus
- Python
- LLMs
- Agentic AI
- RAG
- Prompt engineering
- APIs
- Pipelines
- Cloud AI services
- Azure AI
- Azure OpenAI
Location and Work Schedule
Charlotte, NC (onsite). The role requires working from a U.S. Bank location three (3) or more days per week.
Compensation
USD 149,515 to 175,900 per year.
Benefits
- Healthcare: medical, dental, and vision
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
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