ServiceNow- ServiceNow Moveworks AI Architect Manager - Tech Cons - Open Location

About the role

You’ll lead ServiceNow Transformation teams in a rapidly growing area of the business. It’s a client visible role, you will spearhead EY’s AI thought leadership, shaping our strategic point of view and driving innovation through the design and development of cutting-edge solutions and assets.

Responsibilities

• Lead the build and deployment of AI-native solutions
• Partner with EY’s AI & Data (AI&D) team to define and deliver comprehensive, end-to-end AI strategies that address complex business challenges and unlock new opportunities for growth
• Engage regularly with external clients, actively participating in working sessions and leading workstreams from planning through execution and closure
• Develop solutions to complex problems, recommending changes to policies and establishing procedures that impact your work area
• Exercise judgment in selecting methods, techniques, and evaluation criteria for obtaining results
• Provide direction and feedback to team members, ensuring successful task completion

Requirements

• A bachelor's degree, preferably in Computer Science, Information Systems Management, Engineering or similar discipline
• No less than 2 - 5 years of relevant ServiceNow experience and 1 year implementing NOW Assist
• 2-5 years experience with Moveworks platform selling and/or implementing
• Experience implementing ServiceNow’s AI solutions (Now Assist, Agentic, or AI Control Tower)

Qualifications

• Excellent soft skills – executive communication (written/verbal), adaptability, problem solving, teamwork, relationship building, dependability, and organization
• Proven ability to lead teams and supervise others
• A driver’s license valid in the U.S.

Skills

• Expertise in configuring AI Search capabilities within the ServiceNow platform, customising search relevance and integrating with knowledge management systems
• Expertise in deploying and managing Moveworks plugins and connectors, including designing, training, and optimising AI-powered workflows for tailored user experiences
• Practical knowledge in implementing Retrieval-Augmented Generation (RAG) techniques for improved information retrieval and contextual AI outputs
• Familiarity with foundational AI and data architecture concepts, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols for secure and efficient system integrations
• Experience in waterfall and agile delivery models – including supporting management activities such as planning, status reporting, budgets and risk and issue logs
• Experience in creating proposals and estimates
• Experience in creating high quality deliverables and project artifacts

Benefits

The opportunity to shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

Pay

$142,600 to $261,500

Schedule

Hybrid model with in-person work expected 40-60% of the time over the course of an engagement, project or year.