TL;DR

Gen AI Architect (AI): Define and drive AI/ML architecture and roadmap for investment banking, leveraging advanced Generative AI models and Azure OpenAI services with an accent on end-to-end AI solutions covering data ingestion, model training, and inference pipelines. Focus on integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks while ensuring ethical AI principles and regulatory compliance.

Location: Onsite in Charlotte, NC, USA

Salary: $135,000–$155,000/year

Company

%hirify_global% is a global consulting firm specializing in digital transformation for financial services and technology firms, with a focus on Artificial Intelligence, Cloud & DevOps, and Data solutions.

What you will do

Define and drive AI/ML architecture and roadmap, including Generative AI use cases.
Design end-to-end AI solutions covering data ingestion, model training, and inference pipelines.
Lead the integration of LLMs and RAG frameworks using tools like LangChain or LangGraph.
Collaborate with business stakeholders to translate requirements into scalable AI-driven solutions.
Guide engineering teams in implementing AI components with focus on scalability, reliability, and performance.
Partner with DevOps teams to establish CI/CD pipelines for AI and ensure model versioning and deployment automation.

Requirements

10+ years of proven experience 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.
Hands-on experience with Microsoft Azure OpenAI services and tools 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.
Experience in developing CI/CD pipelines for AI/ML.

Nice to have

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.
Familiarity with project management and Agile practices.

Culture & Benefits

Highly competitive compensation and benefits package.
Multinational organization with the possibility to work abroad.
Paid annual leave, sick leave, and national holidays.
Comprehensive insurance plan including medical, dental, vision, life insurance, and disability.
Retirement savings plans and a higher education certification policy.
Extensive training opportunities, including on-demand Udemy for Business and coaching.