Artificial Intelligence Engineer

PTR Global; Charlotte (NC); Hybrid; USD 90,000 - 96,000; Part time

Job summary

PTR Global in Charlotte, NC seeks an AI Engineer to rapidly prototype AI solutions, build intelligent agents, and enable enterprise copilots for Treasury. The role focuses on Generative AI, agent orchestration, and multi-step workflows, requiring strong Python/TypeScript skills and experience with LLMs and enterprise AI platforms.

The position is hybrid (3 days onsite, 2 days remote) on a 24-month contract, with compensation in the $65-70/hr on W2 range.

Qualifications

• Hands-on experience with Generative AI, Agentic AI, ML, or advanced software engineering.
• Strong Python and TypeScript development experience.
• Experience building APIs, services, automation, testing, and debugging.
• Experience developing applications powered by Large Language Models (LLMs).
• Experience with agent orchestration, tool calling, state management, context engineering, structured outputs, and multi-step workflows.
• Experience with LangGraph, LangChain, or similar agent frameworks.
• Experience with Azure OpenAI or another enterprise AI platform.
• Experience integrating AI applications with enterprise data, APIs, metadata, applications, or analytical tools.
• Understanding knowledge graphs, graph-based data, metadata platforms, or semantic data layers.
• Strong knowledge of REST APIs, SQL, Git, structured/unstructured data, and modern software development practices.
• Ability to independently take an ambiguous business problem and turn it into a functional prototype.
• Strong communication skills with the ability to explain technical concepts to stakeholders.
• Nice-to-Have: Datahub, enterprise metadata platforms, knowledge graphs, graph databases, or semantic data layers.
• Experience building multi-agent systems, enterprise copilots, or AI decision-support applications.
• Experience with AI evaluation, observability, tracing, guardrails, human oversight, and cost monitoring.
• Cloud-native development, containers, CI/CD, and automated deployments.
• Experience with multiple foundation models and model-selection tradeoffs.
• Experience with GitHub Copilot or other AI-assisted development tools.
• Experience in Financial Services, Treasury, Liquidity, Forecasting, Risk, or Regulatory environments.
• Knowledge of Responsible AI, Data Governance, Cybersecurity, Model Risk, and enterprise technology controls

Responsibilities

• Design and build AI prototypes, proofs of concept, and technical demonstrations.
• Partner with Treasury business users to identify high-value AI opportunities.
• Develop intelligent agents, enterprise copilots, and AI-powered decision-support solutions.
• Build agentic workflows involving tool calling, planning, reasoning, state management, and human oversight.
• Integrate AI solutions with enterprise data, APIs, applications, and analytical tools.
• Work with graph-based enterprise context and metadata to help AI agents understand relationships between data, systems, processes, controls, and business concepts.
• Develop Python services, APIs, automation, and reusable AI components.
• Build lightweight full-stack applications to test new AI experiences with business users.
• Evaluate AI models and agent frameworks based on reliability, accuracy, latency, cost, security, and business value.
• Establish success metrics and evaluate agent reasoning, contextual accuracy, tool execution, and overall user experience.
• Document technical designs, architectural patterns, lessons learned, and recommendations.
• Collaborate with architecture, data, cybersecurity, risk, and control teams to support enterprise adoption.
• Develop reusable AI engineering patterns for future Treasury initiatives.
• Required Qualifications5+ years of Finance experience, or equivalent experience.

Skills

Generative AI

Agentic AI

Python

TypeScript

LLMs

Agent orchestration

LangGraph

LangChain

Azure OpenAI

REST APIs

SQL

Tools

LangGraph

LangChain

GitHub Copilot

Job description

Job ID: 179547

Location: Charlotte, NC (Hybrid – 3 days onsite; 2 days remote)

Duration: 24 months contract

Job Overview

We are seeking a hands‑on AI Engineer to join an Innovation and AI team supporting next‑generation AI solutions for Treasury.

This role will focus on rapidly developing AI prototypes, intelligent agents, enterprise copilots, and AI‑enabled decision‑support solutions. The ideal candidate will have strong experience with Generative AI, Agentic AI, Python, TypeScript, LLMs, and agent orchestration frameworks.

You will work closely with business and technology teams to turn complex business problems into working AI solutions while developing reusable patterns that can eventually scale into enterprise platforms.

Key Responsibilities

• Design and build AI prototypes, proofs of concept, and technical demonstrations.
• Partner with Treasury business users to identify high‑value AI opportunities.
• Develop intelligent agents, enterprise copilots, and AI‑powered decision‑support solutions.
• Build agentic workflows involving tool calling, planning, reasoning, state management, and human oversight.
• Integrate AI solutions with enterprise data, APIs, applications, and analytical tools.
• Work with graph‑based enterprise context and metadata to help AI agents understand relationships between data, systems, processes, controls, and business concepts.
• Develop Python services, APIs, automation, and reusable AI components.
• Build lightweight full‑stack applications to test new AI experiences with business users.
• Evaluate AI models and agent frameworks based on reliability, accuracy, latency, cost, security, and business value.
• Establish success metrics and evaluate agent reasoning, contextual accuracy, tool execution, and overall user experience.
• Document technical designs, architectural patterns, lessons learned, and recommendations.
• Collaborate with architecture, data, cybersecurity, risk, and control teams to support enterprise adoption.
• Develop reusable AI engineering patterns for future Treasury initiatives.
• Required Qualifications Hands‑on experience with Generative AI, Agentic AI, Machine Learning, or advanced software engineering.
• Strong Python and TypeScript development experience.
• Experience building APIs, services, automation, testing, and debugging.
• Experience developing applications powered by Large Language Models (LLMs).
• Experience with agent orchestration, tool calling, state management, context engineering, structured outputs, and multi‑step workflows.
• Experience with LangGraph, LangChain, or similar agent frameworks.
• Experience with Azure OpenAI or another enterprise AI platform.
• Experience integrating AI applications with enterprise data, APIs, metadata, applications, or analytical tools.
• Understanding knowledge graphs, graph‑based data, metadata platforms, or semantic data layers.
• Strong knowledge of REST APIs, SQL, Git, structured/unstructured data, and modern software development practices.
• Ability to independently take an ambiguous business problem and turn it into a functional prototype.
• Strong communication skills with the ability to explain technical concepts, risks, limitations, and tradeoffs to business and technology stakeholders.
• Nice‑to‑Have Skills: Experience with Datahub, enterprise metadata platforms, knowledge graphs, graph databases, or semantic data layers.
• Experience building multi‑agent systems, enterprise copilots, or AI decision‑support applications.
• Experience with AI evaluation, observability, tracing, guardrails, human oversight, and cost monitoring.
• Experience with cloud‑native development, containers, CI/CD, and automated deployments.
• Experience working with multiple foundation models and understanding model‑selection tradeoffs.
• Experience with GitHub Copilot or other AI‑assisted development tools.
• Experience in Financial Services, Treasury, Liquidity, Funding, Forecasting, Risk, or Regulatory environments.
• Knowledge of Responsible AI, Data Governance, Cybersecurity, Model Risk, and enterprise technology controls.

What Success Looks Like

• Success in this role will be measured by the ability to: Convert Treasury business opportunities into working AI prototypes.
• Build AI agents that effectively reason across governed enterprise data and context.
• Demonstrate measurable business value through AI solutions.
• Establish a practical path from experimentation to scalable enterprise implementation.
• In This Contingent Resource Assignment, Candidates May Consult on complex initiatives with broad impact and large‑scale planning within Finance.
• Analyze complex, multi‑faceted Finance challenges requiring in-depth evaluation and problem solving.
• Contribute to resolving complex situations while applying knowledge of business functions, policies, procedures, and compliance requirements.
• Strategically collaborate and consult with client personnel.
• Required Qualifications5+ years of Finance experience, or equivalent experience demonstrated through work/consulting experience, training, military experience, or education.

Pay Range: $65-70/hr. on W2

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full‑time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.