AI Lead​/Architect

Job Title: AI Lead/Architect

Location:
Charlotte, NC – Onsite – Hybrid – Need Local consultant

Job Summary

We are seeking an experienced AI Lead / Architect to drive the design, architecture, and implementation of enterprise AI solutions. The ideal candidate will have strong expertise in Generative AI, Large Language Models (LLMs), AI/ML architecture, and cloud-based AI platforms, along with the ability to lead technical teams and collaborate with business stakeholders to deliver secure, scalable, and production-ready AI solutions.

Key Responsibilities

• Define and drive the architecture and technical strategy for enterprise AI and Generative AI solutions.
• Design and implement AI/ML solutions using LLMs, Retrieval-Augmented Generation (RAG), and AI agent frameworks.
• Lead the development of AI-powered applications, intelligent automation, and enterprise AI platforms.
• Design scalable data pipelines and integrate AI solutions with enterprise systems, APIs, databases, and cloud services.
• Establish best practices for prompt engineering, model evaluation, AI observability, and performance optimization.
• Implement responsible AI principles, including data privacy, security, governance, explainability, and risk management.
• Collaborate with product owners, data scientists, software engineers, and business stakeholders to translate requirements into technical solutions.
• Lead architecture reviews, proof-of-concept development, technical design sessions, and production deployments.
• Mentor engineers and establish standards for AI development, testing, deployment, and ongoing support.
• Ensure AI solutions meet enterprise requirements for scalability, reliability, compliance, and operational excellence.

Required Technical Skills

• Strong experience in AI/ML architecture and enterprise solution design.
• Hands-on experience with Generative AI, LLMs, and RAG-based applications.
• Experience with AI agent frameworks and agentic AI workflows.
• Proficiency in Python and experience developing REST APIs and AI-enabled applications.
• Experience with vector databases, embeddings, semantic search, and knowledge retrieval.
• Knowledge of cloud AI services such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Experience with MLOps/LLMOps, model deployment, monitoring, evaluation, and CI/CD pipelines.
• Strong understanding of data architecture, API integration, security, and enterprise application integration.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes is preferred.
• Familiarity with AI governance, responsible AI, data protection, and model risk management.

Leadership and Architecture Requirements

• Ability to define target-state AI architecture and technical roadmaps.
• Experience leading engineering teams and delivering enterprise-scale AI solutions.
• Strong communication, stakeholder management, and technical decision-making skills.
• Ability to balance innovation with security, performance, cost, and maintainability.

Preferred Qualifications

• Experience in banking, financial services, or other regulated enterprise environments.
• Experience implementing AI solutions with strict security, privacy, and compliance requirements.
• Familiarity with enterprise knowledge management, intelligent document processing, and workflow automation.
• Relevant cloud, AI, or architecture certifications are a plus.