Senior AI Transformation Consultant

Inivos is a globally recognized Enterprise Solution provider and authorized IFS Channel and Services partner. Our dedicated team of consultants, developers, and quality engineers has set new standards across multiple industry verticals, achieving remarkable business success. Within just five years, we've established a strong client base across 8+ continents, demonstrating our leadership in innovative solutions. Join us and be part of shaping the future of enterprise technology.Job DescriptionWe're hiring an AI Transformation & Adoption Lead to drive AI adoption across the business, partnering with internal IT, business teams, and external technology vendors to identify opportunities, evaluate solutions, and lead successful adoption.Identify AI and digital transformation opportunities and lead their successful adoptionEvaluate AI tools and solutions and develop practical adoption strategiesTranslate business needs into clear requirements, use cases, and success criteriaPartner with internal IT teams and external technology vendors to deliver solutionsHold vendors and delivery partners accountable for quality and outcomesLead change management and user adoption across affected teamsAssess AI solutions for business value, security, data privacy, governance, and riskWork with stakeholders to continuously improve solutions based on feedback and changing business needsCommunicate recommendations, risks, and outcomes effectively to senior leadershipRequirementsBachelor's degree in Business, Information Technology, Computer Science, or a related fieldRelevant certifications (e.g. AI/ML platform certifications, project or change management certifications) are a plus but not required3-5+ years of hands-on experience leading or executing AI or digital-transformation initiatives: Tool evaluation, adoption strategy, and change managementSolid practical understanding of modern AI/LLM systems: capabilities, limitations, common failure modes (e.g. hallucination), and core concepts like prompting, context windows, and retrieval-augmented generation (RAG)Working knowledge of AI governance and risk considerations in a data-sensitive business environmentTrack record delivering through vendors, IT teams, or cross-functional partners, not just through direct reportsStrong stakeholder management and communication skills, comfortable engaging senior leadershipDemonstrated adaptability: real evidence of changing course based on feedback, not just executing a fixed planBackground in professional services, consulting, or enterprise IT servicesFamiliarity with enterprise data governance frameworks (e.g. ISO 27001, Microsoft Purview)Experience managing external technology vendors or delivery partnersBenefitsCompetitive compensation. Recognition & AppreciationTraining & certifications funded. Open work Culture. Recreational Activities and Events. Medical claims & Insurance upon eligibility.