We are seeking a dynamic and forward-thinking Agentic AI Change Management & Adoption / Rollout Specialist to join our innovative team. In this critical role, you will lead the strategic planning, execution, and management of AI-driven change initiatives designed to transform our organization's operations and culture. You will collaborate with cross-functional teams to ensure seamless adoption and integration of agentic AI technologies that empower employees and optimize business processes. The ideal candidate combines deep expertise in change management methodologies with a passion for artificial intelligence and digital transformation.
In this role, you will:
• Develop AI adoption roadmaps covering stakeholder sequencing, change impact assessments, and go-live milestones.
• Conduct workflow assessments to identify resistance patterns and role-level impacts before deployment.
• Facilitate executive briefings and build internal AI champion networks across business units.
• Design and deliver role-specific training programs, enablement assets, and sandbox learning environments.
• Track adoption KPIs (usage rates, productivity deltas, confidence scores) and translate insights into targeted interventions.
• Embed responsible AI principles — transparency, accountability, human oversight — into every rollout design.
• Collaborate with IT, legal, and compliance to ensure deployments operate within governance guardrails.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client office in Charlotte, NC. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.
What you need to have to be considered
• 10+ years in change management, digital transformation, or enterprise technology adoption.
• Demonstrated experience leading adoption for large-scale AI, automation, or intelligent workflow deployments.
• Working knowledge of agentic AI — multi-agent systems, LLM-powered tools, human-in-the-loop design.
• PMP a plus.
• Exceptional executive communication and cross-functional stakeholder management skills.
Salary and Other Compensation:
The annual salary for this position is between $103,821 to $187, 500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
コグニザントについて
コグニザント(NASDAQ: CTSH)は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。







