ServiceNow Gen AI Developer

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.

Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.

Here are the job details

Job Title: ServiceNow Gen AI Developer

Location: Remote (WFH with 30 percent travel on client expenses)

Duration: Long Term

Rate is Open as per market

Job description

Role Responsibilities

· Deploy and configure Now Assist capabilities including Generative AI AI Agents Virtual Agent NLU AI Search Issue Auto Resolution Task Intelligence and Document Intelligence across customer instances

· Translate AI Transformation Architect blueprints into working configurations integrations and workflows following ServiceNow best practices

· Rapidly prototype and iterate on AI use cases in alignment with customerdefined success metrics

· Drive measurable AI adoption outcomes including active user rates workflow automation coverage and timetovalue for Now Assist features

· Partner with AI Transformation Architects to execute customerspecific AI adoption roadmaps sprint plans and golive checklists

· Facilitate customer workshops enablement sessions and handson training to build AI literacy and sustained usage

· Surface and escalate adoption blockers technical organizational or behavioral and recommend targeted interventions

· Serve as the ontheground technical expert for AIrelated questions issues and guidance across the customer lifecycle

· Act as SME alongside AI Transformation Architects in customer steering meetings executive briefings and QBRs

· Identify debug and advise on configuration conflicts data gaps or architecture issues that block AI activation

· Document customer configurations AI use case outcomes and lessons learned to contribute to AI Adoption Team knowledge base and repeatability

· Experience in leveraging or critically thinking about how to integrate AI into work processes decisionmaking or problemsolving This may include using AIpowered tools automating workflows analyzing AIdriven insights or exploring AIs potential impact on the function or industry

Qualifications

· 7 years of ServiceNow configuration and implementation experience with demonstrated handson AI feature deployments

· Handson experience deploying one or more of the following Now Assist GenAI AI Agents Virtual Agent NLU AI Search Task Intelligence or Document Intelligence

· Understanding of AIML concepts including Large Language Models LLMs prompt engineering and Generative AI particularly in enterprise workflow contexts

· Minimum 2 active ServiceNow CIS certifications ServiceNow Certified Application Developer CAD preferred

· Demonstrated ability to influence and consult providing options with pros cons and risks in a complex and varied customer environment while providing thought leadership to customer sponsors and stakeholders in solving business process andor technical problems

· Proven ability to translate customer business requirements into working platform configurations and deliver against sprintbased timelines

· Experience with ServiceNow platform capabilities including Flow Designer Integration Hub Studio IDE APIs and Automated Test Framework to support AI data flows and configurations

· Strong communication skills able to explain technical concepts to nontechnical stakeholders and lead enablement sessions confidently

· Experience with AI adoption frameworks and change management methodologies preferred

· Knowledge of enterprise AI governance data privacy considerations and responsible AI practices preferred

· Experience with data management database design and database concepts

· Strong interpersonal skills customercentric attitude and ability to operate within a culturally diverse environment

· Proven ability to mentor junior consultants or lead technical workstreams

· Analytical and problemsolving abilities with a …