Artificial Intelligence (AI) Implementation Specialist

About the role

The AI Implementation Specialist works under the direction of an IT Manager, Project Manager, Department Executive, or user agency personnel. This classification specializes in helping a department evaluate, plan, implement, govern, and mature the use of artificial intelligence (AI) across its business and operational functions.

Responsibilities

• Assess organizational readiness and identify high-value AI use cases.
• Design implementation roadmaps and establish responsible-AI and governance practices.
• Deliver proofs of concept and transfer knowledge to internal staff.
• Translate operational needs into practical, responsible AI solutions.
• Engage in AI readiness and opportunity assessments, use-case identification and prioritization, and implementation planning.
• Evaluate AI outputs for accuracy, security, privacy, bias, and maintainability.
• Prepare documentation, standards, and training materials.
• Build internal capability through hands-on knowledge transfer.
• Facilitate workshops and stakeholder sessions.
• Provide and receive constructive feedback.
• Communicate clearly, document, and brief effectively.
• Work collaboratively with internal staff to ensure knowledge transfer and continued use of AI.

Requirements

• Possess knowledge and experience with enterprise AI implementation, generative AI, large language models, and AI agents.
• Experience with AI readiness assessments, business-process analysis, AI use-case identification and prioritization, implementation road mapping, and AI adoption and organizational change management.
• Knowledge and experience with AI governance and responsible-AI practices, including risk management aligned to the NIST AI Risk Management Framework, data privacy, information security, bias and fairness review, human oversight, and validation of AI-generated work products.
• Experience with prompt engineering standards, reusable prompt and pattern libraries, workflow and process automation, and productivity and collaboration platforms.
• Experience integrating AI into existing business and technology environments, including data sources, enterprise applications, identity and access management, and cloud services.
• Familiarity with the software development lifecycle and AI-assisted development tools.
• Experience developing standards, documentation templates, technical and executive briefings, training curricula, and knowledge-transfer materials.
• Clear oral and written communication skills.
• Experience leading or supporting enterprise technology, digital transformation, or organizational technology-consulting initiatives.
• Experience evaluating, implementing, and integrating artificial intelligence, generative AI, or intelligent automation solutions.
• Experience developing AI strategies, readiness or opportunity assessments, implementation roadmaps, governance or responsible-AI recommendations, and executive-level recommendations.
• Experience designing and delivering AI proofs of concept, pilots, or production implementations, and validating AI-generated or AI-assisted work products.
• Experience partnering with executive leadership, business owners, project managers, cybersecurity staff, infrastructure teams, business analysts, and application developers.
• Experience providing training, facilitation, mentoring, documentation, or knowledge transfer to technical and non-technical staff.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Information Technology, Artificial Intelligence, Data Science, Business Analytics, Public Administration, Organizational Change Management, or a closely related field.
• Additional qualifying experience may be substituted for the required education on a year-for-year basis.
• A master’s degree in a closely related field may be substituted for one (1) year of the required general experience.

Skills

• Knowledge and experience with enterprise AI implementation, generative AI, large language models, and AI agents.
• Experience with AI readiness assessments, business-process analysis, AI use-case identification and prioritization, implementation road mapping, and AI adoption and organizational change management.
• Knowledge and experience with AI governance and responsible-AI practices, including risk management aligned to the NIST AI Risk Management Framework, data privacy, information security, bias and fairness review, human oversight, and validation of AI-generated work products.
• Experience with prompt engineering standards, reusable prompt and pattern libraries, workflow and process automation, and productivity and collaboration platforms.
• Experience integrating AI into existing business and technology environments, including data sources, enterprise applications, identity and access management, and cloud services.
• Familiarity with the software development lifecycle and AI-assisted development tools.
• Experience developing standards, documentation templates, technical and executive briefings, training curricula, and knowledge-transfer materials.

Benefits

Not specified.

Pay

Not specified.

Schedule

Not specified.

About US Tech Solutions

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement

By applying, you acknowledge that AI-assisted tools may be used during hiring.