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Role Description

The Director of Artificial Intelligence will lead the internal AI team to design, develop, and deploy cutting-edge AI solutions that drive business transformation and operational efficiency. This role requires strategic vision, technical expertise, and leadership skills to align AI initiatives with organizational goals and ensure ethical and responsible AI practices.

• Develop and execute the AI strategy aligned with organizational objectives.
• Lead and mentor the internal AI team, fostering innovation and collaboration.
• Oversee the design, development, and deployment of AI models and solutions.
• Ensure compliance with ethical AI standards and data governance policies.
• Collaborate with cross-functional teams to identify AI opportunities and deliver impactful solutions.
• Monitor AI trends and emerging technologies to maintain competitive advantage.
• Manage budgets, resources, and timelines for AI projects.
• Present AI initiatives and outcomes to executive leadership and stakeholders.

Qualifications

• 5+ years of experience in AI/ML development and deployment.
• 2+ years in a leadership role managing AI teams and projects.
• Proven track record of delivering AI solutions that drive business impact.
• Experience in enterprise-level AI strategy and implementation.
• Advanced degree (Master's or Ph.D.) in Computer Science, AI, Data Science, or related field.

Requirements

• Deep understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and advanced generative AI techniques.
• Proficiency in OpenAI APIs (ChatGPT, GPT models) and Gemini (Google AI) for building conversational AI, multimodal solutions, and enterprise integrations.
• Strong knowledge of AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
• Experience with prompt engineering, fine-tuning large language models (LLMs), and leveraging embeddings for semantic search.
• Familiarity with cloud-based AI platforms (Google Vertex AI, Azure AI, AWS SageMaker) and MLOps practices for deployment and monitoring.
• Advanced proficiency in Python and experience with RESTful API development for integrating OpenAI and Gemini services.
• Expertise in building scalable AI microservices and orchestration using containerization (Docker, Kubernetes).
• Strong understanding of software engineering best practices, version control (Git), and CI/CD pipelines.
• Knowledge of data preprocessing, feature engineering, and data quality assurance for LLM training and inference.
• Understanding of data privacy regulations (GDPR, CCPA) and ethical AI principles.
• Ability to implement robust data governance and security frameworks for sensitive enterprise data.
• Proven ability to lead cross-functional teams and manage large-scale AI programs leveraging OpenAI and Gemini capabilities.
• Strategic thinking to align AI initiatives with business objectives and ROI.
• Strong decision-making skills under uncertainty and ability to prioritize competing demands.
• Exceptional analytical skills to interpret complex datasets and derive actionable insights.
• Ability to troubleshoot AI models, optimize performance, and ensure cost-efficient API usage.
• Excellent verbal and written communication skills for presenting technical concepts to non-technical audiences.
• Ability to influence senior leadership and drive organizational buy-in for AI initiatives.

Benefits

• Health, dental, and vision insurance.
• Retirement savings plan with company match.
• Paid time off and holidays.
• Professional development opportunities.
• Performance-based bonus based on position.

Pay Range

USD $142,200.00 - USD $242,000.00 /Yr.