AI Engineer, Innovation & AI We are not accepting C2C or 1099 arrangements.

Location:

Charlotte, NC (Hybrid)

Work Model:

Hybrid, with a minimum of 3 days per week onsite

Note:

No Spotlight Call required at this stage. About the Role We are seeking an experienced AI Engineer to join our Innovation & AI team and help shape the future of AI-driven solutions within Treasury. In this role, you will rapidly prototype, build, and evaluate intelligent applications and agentic systems that leverage large language models, enterprise data, and emerging AI technologies. You will work at the intersection of AI, software engineering, and business innovation, transforming ambiguous opportunities into functional prototypes and scalable solutions. The ideal candidate is both a hands-on engineer and an innovative problem-solver who thrives in fast-paced, exploratory environments. What You'll Do Design, build, and evaluate AI-powered prototypes, proof-of-concepts, and production-ready solutions. Develop intelligent agents and AI applications utilizing large language models (LLMs). Build agentic workflows that perform reasoning, tool execution, orchestration, context management, and human-in-the-loop decision-making. Create AI-enabled experiences that leverage enterprise data, metadata, APIs, and business processes. Develop and maintain Python and TypeScript services, APIs, tools, and reusable engineering components. Integrate AI solutions with enterprise platforms, analytical tools, and data ecosystems. Evaluate AI models, frameworks, and orchestration approaches across performance, accuracy, security, cost, and scalability dimensions. Collaborate with business stakeholders to identify high-value use cases and translate requirements into working solutions. Establish reusable engineering patterns and best practices that accelerate future AI adoption. Partner with architecture, cybersecurity, risk, and data teams to support enterprise-ready AI capabilities. Document technical decisions, architectural patterns, lessons learned, and recommendations for scaling solutions. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Experience building Generative AI, Agentic AI, Machine Learning, or advanced software applications. Strong software engineering experience with Python and TypeScript. Experience developing APIs, services, automation frameworks, testing strategies, and debugging solutions. Experience building AI applications powered by Large Language Models (LLMs).

Hands-on experience with:

Agent orchestration Tool calling State management Context engineering Structured outputs Multi-step reasoning workflows Experience with LangGraph, LangChain, or similar agent orchestration frameworks. Experience using Azure OpenAI or comparable enterprise AI platforms.

Strong understanding of:

REST APIs SQL Structured and unstructured data Git/GitHub Modern software development practices Experience integrating AI solutions with enterprise applications, APIs, and data platforms. Ability to independently convert business concepts into working prototypes. Excellent communication and stakeholder management skills. Preferred Qualifications Experience with metadata platforms such as DataHub, knowledge graphs, semantic layers, or graph databases. Experience building multi-agent systems, enterprise copilots, or AI-assisted decision-support applications. Full-stack development experience using React, JavaScript/TypeScript, MongoDB, or similar technologies. Experience implementing AI observability, evaluation frameworks, guardrails, tracing, and monitoring solutions. Familiarity with cloud-native architectures, containerization, CI/CD, and automated deployment pipelines. Experience evaluating and working across multiple foundation model providers and architectures. Experience using AI-assisted development tools such as GitHub Copilot. Understanding of responsible AI, cybersecurity, model governance, risk management, and enterprise controls. Prior experience within Financial Services, Treasury, Risk, Capital Markets, or Regulatory environments. What Success Looks Like In this role, you will: Deliver high-impact AI prototypes that address real business challenges. Demonstrate innovative ways AI agents can reason across enterprise data and business context. Establish scalable engineering patterns for future AI development. Help bridge the gap between experimentation and enterprise adoption. Contribute to the organization's long-term AI strategy through measurable business value and technical innovation.

Required Technical Stack Programming Languages:

Python, TypeScript AI Frameworks:

LangGraph, LangChain, Agent Frameworks AI Platforms:

Azure OpenAI or equivalent

Development Tools:

GitHub, Git, CI/CD Data Technologies:

SQL, Enterprise Data Platforms, Metadata Systems Architecture:

REST APIs, Agentic Workflows, Knowledge Graph Concepts This opportunity is ideal for a hands-on AI Engineer who enjoys building innovative AI solutions, experimenting with emerging technologies, and driving AI adoption from concept through implementation Benefits Featured Medical, Dental , and Vision Insurance is offered to qualified candidates. Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.