Gen AI Architect

Artifintech; Charlotte (NC); On-site; USD 180,000 - 280,000; Full time

Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a Gen AI Architect to lead enterprise AI/ML architecture with a strong focus on Generative AI and Azure OpenAI services. You will design end-to-end AI solutions, covering data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.

The role requires 10+ years of leadership in enterprise AI, expertise with LLMs and RAG, and experience deploying in regulated environments, with a focus on governance,

Qualifications

• 10+ years of experience leading AI/ML architecture in enterprise environments.
• Expertise deploying large-scale AI/ML solutions including LLMs and RAG frameworks.
• Experience with TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph.
• Deep understanding of data workflows, feature engineering, model training and deployment.
• Knowledge of cloud platforms (AWS, Azure, GCP) for AI deployment.

Responsibilities

• Define and drive the AI/ML architecture and roadmap for enterprise use cases.
• Design end-to-end AI solutions covering data ingestion, feature engineering, training, inference, and monitoring.
• Lead integration of LLMs and RAG frameworks and related tooling.
• Collaborate with stakeholders to translate requirements into scalable AI solutions.
• Establish CI/CD pipelines for AI, model versioning, deployment automation, and A/B testing.

Skills

AI strategy

Enterprise leadership

Stakeholder management

Communication

Problem solving

Education

Advanced degree (Ph.D./Master) in CS/DS/AI

Tools

TensorFlow

PyTorch

Hugging Face

LangChain

LangGraph

Job description

Job Description

The Gen AI Architect will leverage advanced Generative AI models and Azure OpenAI services to develop innovative solutions for investment banking processes. The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG).

Responsibilities

• Define and drive the AI/ML architecture and roadmap, including both traditional machine learning and Generative AI (GenAI) use cases.
• Design comprehensive end-to-end AI solutions covering data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
• Lead the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, utilizing tools such as LangChain, LangGraph, or similar.
• Collaborate with business stakeholders to translate requirements into scalable AI-driven technical solutions.
• Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries based on use case needs and industry best practices.
• Ensure models adhere to governance, security, explainability, and regulatory compliance, embedding ethical AI principles into system design.
• Guide engineering teams in the implementation of AI components, emphasizing scalability, reliability, and performance optimization.
• Partner with DevOps teams to establish CI/CD pipelines for AI, including model versioning, deployment automation, and ongoing A/B testing.
• Keep abreast of the latest industry research, breakthroughs, and emerging trends in AI, recommending adoption of best practices and innovative solutions.

Requirements

• Proven experience 10+ years, excel in leading AI/ML architecture and strategy in enterprise environments.
• Strong expertise in designing and deploying large-scale AI/ML solutions, including LLMs and RAG frameworks.
• Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, or similar.
• Deep understanding of data workflows, feature engineering, model training, evaluation, and deployment.
• Knowledge of cloud platforms (AWS, Azure, GCP) and services tailored for AI deployment.
• Familiarity with model governance, security, explainability, and ethical AI standards.
• Experience in developing CI/CD pipelines for AI/ML, including model versioning, monitoring, and performance tuning.
• Strong problem-solving, communication, and stakeholder management skills.

Preferred, but not required

• Advanced degree (Ph.D., Master's) in Computer Science, Data Science, AI, or related fields.
• Publications or practical contributions to AI research and open-source projects.
• Experience working in regulated industries or environments requiring compliance and governance.
• Familiar with project management and Agile practices.

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract