Principal Applied AI Scientist Quant Engineer

ReqRoute,Inc

Job Location:

Charlotte, NC - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Job Description: Hybrid (3x per week) in Dallas TX or Charlotte NC

06-12 Months contract

Job Title: Applied AI Principal Applied AI Scientist / Quant Engineer

About this role:

Client is seeking a Principal Applied AI Scientist / Quant Engineer to drive the design development and implementation of Artificial Intelligence (AI) enabled applications aligned to the Testing Monitoring & Audit Technology team within ERAFT (Enterprise Risk Audit & Finance Technology). This role will focus on building intelligent efficient and user-centric capabilities that accelerate Testing & Monitoring outcomes across rules and metadata sampling execution results analysis reporting workflow evidence and audit trails.

In addition to hands-on development this role will play a key part in evolving reusable patterns automation frameworks and governance approaches for applied AI solutions in enterprise environments. Success in this role is measured by delivery of scalable capabilities measurable quality and reliable operational performance aligned to business objectives.

This role will be a key contributor to shaping AI infrastructure governance and automation frameworks working closely with cross-functional partners in technology product management and operations.

In this role you will:

Design develop and optimize Gen AI applications using agentic frameworks and tools

Accelerate end to end solution delivery timelines by developing automated data prompting and evaluation pipelines

Streamline the enablement of Agentic AI solutions by building solution blueprints re-usable patterns and identifying process improvements

Lead AI engineering efforts that drive the design development scalability and evolution of AI-powered products ensuring AI adoption

Research and guide engineering efforts to solve complex engineering challenges and balance accuracy latency and cost

Develop automated AI model monitoring frameworks enabling continuous model updates explainability and performance tracking

Develop and scale AI platforms leveraging Large Language Model (LLM) services real time analytics AI automation and intelligent decision-making

Act as an advisor and collaborate with leadership to integrate AI into existing enterprise systems and cloud platforms to implement innovative and significant business solutions

Drive cross-functional collaboration to define AI roadmaps infrastructure strategies and product enhancements ensuring AI capabilities align with business AI strategies

Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise delivering solutions that require vision creativity innovation and advanced analytical and thinking

Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization

Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Responsible for meticulous governance to address the unique risks posed by GenAI

Lead technical workstreams and serve as a peer mentor

Desired Qualifications:

Strong expertise in AI model development and deployment with a strong background in LLMs generative AI and AI-engineering

Deep experience with generative AI models including model prompting tuning and safety best practices

Expertise in solution architecture and applying modular design techniques to agentic workflows

Solid grasp of data and error analysis identifying issues and patterns throughout the AI pipeline

Strong expertise in test or eval driven development ensuring robust and scalable AI software

Experience in backend application software development with ability to quickly adapt to C# and Python code bases

Strong understanding of Retrieval-Augmented Generation (RAG) knowledge graphs and agentic workflows

Deep knowledge of AI infrastructure Generative AI Operations and enterprise-scale AI adoption strategies

Familiarity with enterprise-scale software systems and their integration within large organizations

Passion for building AI solutions that deliver a seamless end-user-focused experience

Experience in enterprise AI model lifecycle management AI compliance and risk mitigation strategies

Strong understanding of human centered AI design for workplace applications

Excellent collaboration communication and problem-solving skills

Nice to have: prior experience with knowledge graph technologies and the design and validation of semantic matching frameworks in enterprise environments.

Job Description: Hybrid (3x per week) in Dallas TX or Charlotte NC 06-12 Months contract Job Title: Applied AI Principal Applied AI Scientist / Quant Engineer About this role: Client is seeking a Principal Applied AI Scientist / Quant Engineer to drive the design development and ...