Gen AI Architect (AI)

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.