Artificial Intelligence Architect

Role: Artificial Intelligence Architect


Duration: 02/03/2025 - 06/30/2025


Location: Denver, Colorado - 100% remote


**Although a fully remote position, ideal candidate would be within the State of Colorado as there is possibility of converting this role to a full time

The AI Program Manager will be a key member of the Chief Data Office team , responsible for driving the strategy and execution of an AI framework within the state government. This role will require a unique blend of technical expertise, strategic vision, and leadership skills, including a close collaboration with OIT resources and agency stakeholders across various state departments to develop product roadmaps, govern AI use cases and ensure alignment with the broader state strategy serving Colorado residents. This role will lead the development and implementation of a comprehensive AI framework for the State, ensuring responsible and beneficial use of AI across government agencies.

Responsibilities:


The Chief Data Office (CDO) is seeking a skilled and motivated AI Lead role to spearhead the State of Colorado's efforts in adopting and implementing artificial intelligence across government agencies. This role requires a unique blend of technical expertise, collaborative leadership and ability to drive program details. The AI Lead will be responsible for guiding the development and execution of AI initiatives, ensuring responsible use, fostering innovation, and maximizing the benefits of AI for Colorado residents.


AI Strategy and Implementation

• Define and champion the vision, strategy and roadmap for AI adoption across state government, aligning with key priorities for Colorado residents
• Collaborate with agency stakeholders and OIT resources to identify and prioritize AI opportunities that improve efficiency, service delivery, and citizen engagement.

AI Product and Technology Leadership

• Collaborate with agency stakeholders and product managers to guide the development and deployment of AI solutions.
• Provide expert advice and support to agencies on AI-related matters, including technology selection, data governance, and responsible AI practices.
• Stay abreast of advancements in AI technologies, including GenAI, and provide guidance on their responsible application within government.

AI Governance and Compliance

• Establish and enforce clear processes for AI project assessment, approval, testing, and monitoring to ensure alignment with state objectives and responsible AI principles.
• Ensure compliance with relevant state and federal laws, regulations, and policies related to AI development and deployment.
• Contribute to the development and refinement of AI-related policies and regulations to address emerging challenges and opportunities.
• Proactively identify and mitigate potential biases and risks associated with AI systems to ensure fairness, equity, and accountability.
• This role requires meticulous attention to detail in all aspects of AI implementation, governance processes, and product support.

GenAI Expertise:

• Stay abreast of advancements in GenAI applications and techniques.
• Understand the cost, data constraints, and potential biases associated with GenAI development and their influence on AI product development.
• Assist engineers in evaluating GenAI solutions and vendors to ensure they meet the state's requirements for ethical AI and responsible use.

Stakeholder Engagement and Communication:

• Build and maintain strong relationships with key stakeholders including agency leaders, service owners, technology experts, legal counsel, 3rd party vendors, and community representatives.
• Facilitate cross-agency collaboration and knowledge sharing on AI initiatives.
• Raise awareness of AI's potential benefits and risks within the state government.
• Support training and education on AI products and responsible AI practices.

Champion Responsible AI:

• Champion responsible AI development and deployment practices across state agencies.
• Promote transparency and accountability in AI product development and deployment.
• Reinforce human oversight of AI initiatives to maintain ethical and responsible use.

Attention to Detail:

• This role requires meticulous attention to detail in all aspects of AI implementation, governance processes, and product support.
• The AI Lead must be able to identify and address potential risks and inconsistencies in AI systems, data, and documentation to ensure accuracy, compliance, and ethical considerations are met.

Qualifications:

• Education and Experience:
  
  
  Bachelor's degree in computer science, data science, or a related field.
  
  
  • 5+ years of experience in the field of artificial intelligence, including experience with machine learning, deep learning, natural language processing, and computer vision.
  • 5+ years of experience in a leadership role, with proven ability to develop and implement strategic initiatives.
  • Demonstrated experience in defining product vision, strategy, and roadmaps.
  • Experience in working with cross-functional teams, including engineers, data scientists, and business stakeholders.
  • Experience in product/program management, with a focus on technology or AI-driven products.
  • Experience working in the public sector or with government agencies is highly desirable.

• Skills and Knowledge:
  • Deep understanding of AI use cases, technologies, ethical considerations, and policy implications.
  • Strong strategic & critical thinking and planning skills.
  • Attention to detail.
  • Strong technical and business communication skills, with the ability to translate complex technical concepts to non-technical audiences.
  • Excellent communication, interpersonal, and presentation skills.
  • Ability to build consensus and collaborate effectively with diverse stakeholders.
  • Knowledge of data governance, security, and privacy best practices.
  • Familiarity with relevant state and federal laws and regulations.
  • Understanding of responsible AI development principles, including fairness, transparency, and accountability.
  • Awareness of cost, and data constraints for GenAI development and their influence on AI product development.
  • Grant proposal development.