Director of AI Solutions

Duties and Responsibilities

• Lead the design and development of AI-driven applications using machine learning and LLM technologies.
• Identify and prioritize AI use cases that improve operational efficiency, decision-making, and service delivery.
• Build and oversee solutions such as document intelligence systems, semantic search, and knowledge assistants.
• Establish best practices for prompt engineering, model evaluation, and AI solution architecture.
• Ensure AI solutions align with agency governance, security, privacy, and compliance requirements.
• Collaborate with application development teams to integrate AI capabilities into existing systems and workflows.
• Oversee the lifecycle of AI solutions, including experimentation, prototyping, deployment, and monitoring.
• Define and implement standards for responsible AI usage, including bias mitigation, transparency, and auditability.
• Work with vendors and cloud providers to evaluate and procure AI tools, APIs, and platforms.
• Provide technical leadership and mentorship to developers and analysts working on AI initiatives.
• Communicate project status, risks, and outcomes to executive leadership and stakeholders.
• Stay current with emerging AI technologies and recommend adoption strategies aligned with agency goals.

Qualifications

• A baccalaureate degree from an accredited college in computer science, data science, artificial intelligence, information systems, or a related field, and four (4) or more years of experience in data science, or software development or a related field; or,
• Education and/or experience equivalent to "1" above.

Preferred Skills

• Experience designing and deploying AI/ML solutions in production environments.
• Hands-on experience with LLMs and AI platforms (e.g., OpenAI, Anthropic, Google Gemini, Azure AI, AWS Bedrock).
• Strong understanding of prompt engineering, retrieval-augmented generation (RAG), and vector databases.
• Experience with Python, .NET, or other modern programming languages.
• Familiarity with cloud platforms (Azure, AWS, or GCP) and API integrations.
• Knowledge of data engineering concepts and working with structured and unstructured data.
• Experience building conversational AI or document processing solutions.
• Understanding of AI governance, risk management, and compliance considerations in a public sector environment.