TL;DR

Gen AI Architect (AI): Defining and driving AI/ML architecture and roadmap for investment banking, focusing on leveraging Generative AI models and Azure OpenAI services. Focus on integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, ensuring ethical AI, scalability, and performance optimization.

Location: Charlotte, NC

Salary: $135,000–$155,000/year

Company

%hirify_global% is a global consulting firm that provides digital solutions for financial services and technology firms, specializing in Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering.

What you will do

Define and drive 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 using tools such as LangChain or LangGraph.
Collaborate with business stakeholders to translate requirements into scalable AI-driven technical solutions.
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 A/B testing.

Requirements

Proven experience 10+ years, excelling 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, or LangGraph.
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.

Nice to have

Advanced degree (Ph.D., Master’s) in Computer Science, Data Science, AI, or related fields.
Experience working in regulated industries or environments requiring compliance and governance.
Familiarity with project management and Agile practices.

Culture & Benefits

Highly competitive compensation and benefits package.
Multinational organization with 60 offices in 20 countries and the possibility to work abroad.
10 days of paid annual leave (plus sick leave and national holidays).
Comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability.
Retirement savings plans and a higher education certification policy.
Extensive training opportunities, including on-demand Udemy for Business with free access to more than 5000 curated courses.