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AI Implementation Specialist Teknita

LLC - 4.0

Norwalk, CA Job Details 1 hour ago Qualifications AI models Roadmap creation (System development task) Cloud identity and access management (IAM) Systems integration Data visualization software proficiency Data privacy compliance management IT transformation Enterprise software Automation software Generative models Enterprise solutions implementation Public Cloud AI platforms (beyond public GPTs) Technology security practices Prompt engineering Business intelligence tools Machine intelligence Task prioritization Enterprise Integration IT governance planning Conducting training sessions Workshop facilitation experience Change management support (employee development activity) AI-driven automation Cross-functional collaboration RMF Model evaluation Project stakeholder communication Generative AI Cross-functional communication Full Job Description AI Implementation Specialist Job ID# 10TEK00893-071426 - Posted 07/17/2026 - Norwalk, CA We are seeking an experienced AI Implementation Specialist to help drive the strategic adoption, implementation, governance, and maturation of Artificial Intelligence (AI) capabilities across business and operational functions. This role serves as a trusted advisor and implementation expert, partnering with executive leadership, business stakeholders, and technical teams to identify high-value AI opportunities and deliver responsible, sustainable AI solutions. The ideal candidate will have a strong background in enterprise technology transformation, AI implementation, governance, and organizational change management. This position focuses on enabling departments to successfully adopt and independently sustain AI capabilities while ensuring compliance with security, privacy, accessibility, and responsible-AI standards. Key Responsibilities Conduct AI readiness assessments and evaluate organizational preparedness for AI adoption. Identify, assess, and prioritize AI use cases that align with business objectives and operational needs. Develop AI implementation roadmaps, adoption strategies, and governance frameworks. Recommend enterprise AI platforms, tools, and integration approaches. Design, oversee, and support AI proofs of concept (POCs), pilot programs, and production implementations. Establish responsible AI practices, including governance, risk management, validation, human oversight, and quality assurance. Develop standards for prompt engineering, data handling, testing, validation, and AI output review. Evaluate AI-generated content and solutions for accuracy, privacy, security, bias, maintainability, and compliance. Facilitate workshops, stakeholder interviews, and discovery sessions. Prepare executive briefings, technical documentation, standards, reports, and training materials. Measure AI adoption, performance, business value, and return on investment (ROI). Provide structured knowledge transfer and training to enable internal staff to independently manage and expand AI capabilities. Collaborate with cybersecurity teams, infrastructure teams, business analysts, developers, project managers, and executive leadership. Support AI-assisted development initiatives and validate AI-generated work products when application development is part of a targeted use case. Ensure all AI-enabled solutions align with organizational policies, security requirements, privacy obligations, accessibility standards, and industry best practices.

Required Skills:

AI & Technology Expertise Strong knowledge of enterprise AI platforms and services, including: Microsoft Copilot Azure OpenAI ChatGPT Claude Google Gemini Comparable enterprise AI solutions Experience with: Generative AI Large Language Models (LLMs) AI agents and intelligent automation Prompt engineering and reusable prompt libraries Workflow automation and productivity platforms Microsoft Power Platform and Power BI AI Strategy & Governance Experience conducting: AI readiness assessments Business process analysis AI opportunity identification and prioritization AI implementation planning and roadmapping AI adoption and organizational change management Knowledge of responsible AI and governance practices, including: NIST AI Risk Management Framework (AI RMF) Data privacy and protection Information security Bias and fairness evaluation Human oversight and validation processes Integration & Enterprise Technology Experience integrating AI solutions with: Enterprise applications Data sources and repositories Cloud platforms, including Microsoft Azure Identity and Access Management solutions such as Microsoft Entra ID Familiarity with AI-assisted development tools such as GitHub Copilot and Cursor is preferred. Communication & Leadership Strong verbal and written communication skills. Ability to communicate effectively with both executive and technical audiences. Experience facilitating workshops, training sessions, and stakeholder engagement activities. Ability to build collaborative relationships across multiple departments and technical disciplines