Artificial Intelligence (AI) Implementation Specialist

HonorVet Technologies is a veteran-owned IT staffing firm, ISO 9001 and ISO 27001 certified, working with federal agencies, state governments, and Fortune 500 enterprise clients across the US. What makes us different isn't a tagline — it's the way we work. We don't forward resumes and hope for the best. We take the time to understand where a professional like you are headed and only reach out when we genuinely believe there's a fit worth exploring.


Job Title: Artificial Intelligence (AI) Implementation Specialist
Location: Downey, CA 90242
Duration: 12 months


Job Summary
We are seeking an experienced Artificial Intelligence (AI) Implementation Specialist to lead enterprise AI initiatives across business and operational functions. This is a strategic and implementation-focused role responsible for evaluating AI readiness, identifying high-value AI use cases, developing implementation roadmaps, establishing AI governance, delivering proof-of-concepts (POCs), and enabling long-term AI adoption through knowledge transfer and training.
The ideal candidate will have hands-on experience implementing enterprise AI solutions, Generative AI technologies, AI governance frameworks, and cloud-based AI platforms while working closely with executive leadership, business stakeholders, and technical teams.
 
Responsibilities

• Conduct AI readiness assessments and identify high-value AI use cases.
• Analyze business processes and recommend AI-driven solutions.
• Develop AI implementation roadmaps and adoption strategies.
• Design, implement, and oversee AI proof of concepts (POCs) and pilot projects.
• Establish AI governance and Responsible AI practices aligned with the NIST AI Risk Management Framework.
• Validate AI-generated outputs for accuracy, security, privacy, bias, and quality.
• Recommend enterprise AI platforms, tools, and integration approaches.
• Integrate AI solutions with enterprise applications, Azure cloud services, and Microsoft Entra ID.
• Develop prompt engineering standards, reusable prompt libraries, and AI best practices.
• Create documentation, training materials, executive presentations, and knowledge-transfer resources.
• Facilitate workshops, stakeholder meetings, and AI adoption initiatives.
• Measure AI adoption, business value, ROI, and recommend continuous improvements.
• Collaborate with executives, business owners, cybersecurity, infrastructure, project managers, and development teams.
• Mentor and train technical and non-technical staff on AI capabilities and governance.

 
Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Information Technology, Artificial Intelligence, Data Science, Business Analytics, Public Administration, Organizational Change Management, or a related field (or equivalent experience).
• 5+ years of experience leading or supporting enterprise technology, digital transformation, or technology consulting initiatives.
• 3+ years implementing and integrating AI, Generative AI, or intelligent automation solutions.
• 2+ years developing AI strategies, readiness assessments, implementation roadmaps, and AI governance recommendations.
• 2+ years designing and delivering AI POCs, pilots, or production AI implementations.
• Experience with enterprise AI platforms such as Microsoft Copilot, Azure OpenAI, ChatGPT, Claude, Google Gemini, or similar.
• Strong knowledge of Large Language Models (LLMs), AI agents, and Generative AI.
• Experience with AI governance, Responsible AI, NIST AI Risk Management Framework, privacy, security, bias, and human oversight.
• Experience with prompt engineering, workflow automation, and reusable prompt libraries.
• Experience integrating AI with Microsoft Azure, Microsoft Entra ID, enterprise applications, and data sources.
• Experience with Microsoft Power Platform and Power BI.
• Strong communication, documentation, stakeholder management, and training skills.
• Ability to work effectively with executive leadership and cross-functional technical teams.

 
Preferred Qualifications

• Experience with GitHub Copilot, Cursor, or other AI-assisted software development tools.
• Familiarity with Software Development Life Cycle (SDLC) and AI-assisted development workflows.
• Experience defining AI adoption metrics, KPIs, business value, and ROI.
• Experience developing enterprise AI standards, templates, and governance documentation.
• Public sector or government AI implementation experience.
• Master's degree in a related field.
• Experience leading organizational change management and enterprise AI adoption initiatives.