11 Ai Adoption Jobs

Role & responsibilities Job Summary: We are seeking an experienced ServiceNow Architect to lead and drive strategic initiatives across our ServiceNow landscape. The ideal candidate will be well-versed in ITSM, FSM, CMDB, and ServiceNow development, and capable of designing and implementing solutions that enhance platform capabilities. This role will have a strong focus on portal experience, platform architecture, and AI-driven enhancements. Key Responsibilities: Lead architectural design and implementation of ServiceNow solutions across ITSM, FSM, and CMDB modules Architect and oversee the Experience Portal implementation project to enhance end-user engagement Collaborate with stakeholders to define technical requirements and design scalable, secure ServiceNow applications Enable and drive AI adoption and explore new platform capabilities to enhance operational efficiency Provide architectural guidance and hands-on support to development and operations teams Ensure alignment of ServiceNow strategy with broader enterprise architecture Monitor performance, perform platform tuning, and maintain platform health Work closely with ServiceNow developers to design custom applications and integrations Establish and enforce best practices for coding, performance, and security within the ServiceNow environment Required Skills & Experience: Strong experience in ServiceNow Service Management and Operations Management Proven background as a ServiceNow Developer with in-depth understanding of platform architecture Experience designing and implementing ITSM , FSM , and CMDB modules Demonstrated success in leading Experience Portal projects in ServiceNow Familiarity with AI/ML integrations and capability-building within ServiceNow Expertise in scripting (JavaScript, Glide), integrations (REST/SOAP), and custom app development Strong analytical and problem-solving skills Excellent communication and stakeholder management Preferred Qualifications: Certified ServiceNow Architect or Implementation Specialist Experience in large-scale ServiceNow transformation projects Exposure to agile delivery models and DevOps practices Preferred candidate profile

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.