Director of AI

Client: Well-Known Organization

Role: Director of AI

Pay Range: $175,000 – $200,000 USD

Location: McLean, VA

Overview

A leading organization is seeking a Director of AI to drive the strategy, design, and implementation of advanced artificial intelligence solutions across the business. This leadership role will focus on developing scalable AI systems, overseeing AI engineering teams, and implementing Generative AI and automation capabilities that enhance operational efficiency and innovation.

Key Responsibilities

• Lead the AI and automation strategy, aligning AI initiatives with business goals and long-term technology roadmaps
• Design and oversee the implementation of Generative AI solutions, including large language model applications and retrieval-based systems
• Drive the development of agent-based AI systems and autonomous workflows that support intelligent automation
• Guide engineering teams in building and deploying AI-powered platforms and data pipelines
• Implement scalable solutions using cloud-native AI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI
• Collaborate with data, engineering, and product teams to integrate AI into enterprise systems and digital products
• Establish best practices for MLOps, model lifecycle management, and AI governance
• Lead architecture decisions related to APIs, microservices, and modern application frameworks
• Mentor engineering teams and promote innovation in AI development and experimentation

Qualifications

• 10+ years of experience in technology leadership, with at least 2 years focused on AI or automation strategy
• Deep knowledge of Generative AI technologies, including large language models and retrieval-based architectures
• Experience with agent-based AI systems and autonomous workflow frameworks
• Strong programming experience in Python with expertise in data processing tools such as Pandas and PySpark
• Hands-on experience with AI and machine learning frameworks including TensorFlow, PyTorch, or scikit-learn
• Experience building solutions on cloud-based AI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI
• Advanced experience with SQL and data engineering practices
• Familiarity with API development (RESTful services or GraphQL) and modern frontend technologies such as React, Vue.js, or Angular
• Experience with MLOps practices, containerization (Docker, Kubernetes), and Infrastructure as Code tools like Terraform or CloudFormation
• Strong knowledge of Agile methodologies, Jira, and version control systems such as Git

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related quantitative discipline

US citizenship is required