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Applied AI Principal Applied AI Scientist / Quant Engineer

ICONMA, LLC

Charlotte, NC

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JOB DETAILS
SALARY
$55.71–$57.14 Per Hour
SKILLS
Analysis Skills, Application Framework, Artificial Intelligence (AI), Automation, Best Practices, Blueprints, Business Solutions, Business Strategy, Cloud Computing, Communication Skills, Cross-Functional, Data Analysis, Health Plan, Identify Issues, Information Technology Consulting, Leadership, Mentoring, Microsoft C# (C Sharp), Modeling Languages, Performance Analysis, Problem Solving Skills, Process Development, Process Improvement, Python Programming/Scripting Language, Risk Management, Software Design, Software Development, System Integration (SI), Technical Leadership, Test Driven Development (TDD), User Interface/Experience (UI/UX)
LOCATION
Charlotte, NC
POSTED
8 days ago
Our Client, an IT Services and Consultant company, is looking for an Applied AI – Principal Applied AI Scientist / Quant Enginee for their Dallas, TX/ Charlotte, NC/ Hybrid location.
 
Responsibilities:
  • 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
 
Requirements:
  • 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.
  • Years of Experience: 14.00 Years of Experience
 
Why Should You Apply?

About the Company

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ICONMA, LLC