AI Engineer - Hybrid

Genesis10•Charlotte, NC

3d•Hybrid

About The Position

Genesis10 is currently seeking an AI Engineer for a hybrid position with a Global Financial Institution located in Charlotte, NC. This is a 24+ month contract opportunity. The Innovation & AI team is seeking a hands-on AI Engineer to rapidly prototype and advance next-generation AI capabilities for Treasury. The primary focus is innovation: translating business opportunities into working solutions, testing emerging technologies, and establishing reusable patterns. This role will develop intelligent agents and AI-enabled experiences that reason across Treasury data, metadata, business processes, and analytical tools. This is a hybrid role requiring a minimum of 3 days per week on-site.

Requirements

5+ years of Finance experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education
Demonstrated experience building generative AI, agentic AI, machine learning, or advanced software solutions
Strong hands-on Python and TypeScript development skills, including APIs, services, automation, testing, and debugging
Hands-on experience with tool calling, agent orchestration, state management, context engineering, structured outputs, and multi-step reasoning workflows
Experience with LangGraph, LangChain, or comparable agent orchestration technologies
Experience with Azure OpenAI or another enterprise AI platform
Experience integrating AI applications with enterprise data, metadata, APIs, applications, and analytical tools
Working knowledge of graph-based data structures, metadata-driven applications, or knowledge graph concepts
Strong understanding of REST APIs, SQL, structured and unstructured data, Git, and modern software development practices
Ability to independently move from an emerging business concept to a functioning prototype
Ability to operate effectively in an exploratory environment while producing modular, documented, and maintainable solutions
Strong communication skills and the ability to explain technical decisions, limitations, risks, and tradeoffs to business and technology stakeholders

Nice To Haves

Experience with DataHub, enterprise metadata platforms, knowledge graphs, graph databases, or semantic data layers
Experience building multi-agent systems, enterprise copilots, or AI-enabled decision-support applications
Full-stack development experience with React, TypeScript, JavaScript, MongoDB, or comparable technologies
Experience with agent evaluation, observability, tracing, guardrails, human oversight, and cost monitoring
Experience designing AI experiences that dynamically select and use enterprise tools, data, and specialized capabilities
Experience with cloud-native development, containerization, CI/CD, and automated deployment
Familiarity with multiple foundation-model families and model-selection tradeoffs
Experience using GitHub Copilot or other AI-assisted engineering tools
Financial services, Treasury, liquidity, funding, forecasting, risk, or regulatory experience
Familiarity with responsible AI, data governance, cybersecurity, model risk, and enterprise technology controls

Responsibilities

Rapidly design and build AI prototypes, proofs of concept, and technical demonstrations for Treasury use cases
Partner with Treasury users to identify high-value opportunities and translate complex business problems into testable solutions
Develop context-aware agents, enterprise copilots, and AI-enabled decision-support experiences
Build agentic workflows that plan, reason, use tools, maintain state, coordinate specialized capabilities, and incorporate human oversight when appropriate
Integrate agents with a DataHub-based graph context layer that provides governed business, technical, operational, and data context
Enable agents to navigate relationships across data assets, metadata, systems, models, processes, controls, and business concepts
Develop Python services, APIs, tools, and reusable components that connect AI capabilities with enterprise applications and data platforms
Create lightweight full-stack experiences to test new interaction models with business users
Evaluate models, agent frameworks, context-engineering techniques, and orchestration patterns based on intelligence, reliability, latency, cost, security, and business fit
Define prototype success measures and evaluate reasoning quality, contextual accuracy, tool execution, user value, and operational reliability
Document architectural patterns, lessons learned, technical constraints, and recommendations for further investment or production maturation
Collaborate with architecture, data, cybersecurity, risk, and control partners to establish a viable path from experimentation to governed enterprise adoption
Develop reusable engineering patterns that accelerate future AI delivery across Treasury

Benefits

Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years.
The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
Behavioral Health Platform
Medical, Dental, Vision
Health Savings Account
Voluntary Hospital Indemnity (Critical Illness & Accident)
Voluntary Term Life Insurance
401K
Sick Pay (for applicable states/municipalities)
Commuter Benefits (Dallas, NYC, SF, and Illinois)