Now Assist and generative AI
Use-case selection, Now Assist configuration, skills, prompts, summarization, content generation, conversational experiences, adoption, and measurable workflow improvement.
Kaladesi / ServiceNow specialties
ServiceNow
AI staffing
ServiceNow
AI staffing.
Find ServiceNow AI people who understand the platform behind the intelligence: architects, Now Assist specialists, AI Agent developers, product owners, data and integration specialists, and governance leaders screened by practitioners.
Full-timeContractContract-to-hire
01 — The specialty
An AI feature is not an operating model.
ServiceNow AI connects use cases, enterprise data, knowledge, workflows, models, permissions, human judgment, and measurable outcomes. We look for people who can move from an impressive demonstration to a capability the organization can trust and operate.
AI Agents and agentic workflows
AI Agent Studio, roles, tools, instructions, triggers, orchestration, action boundaries, approvals, human handoffs, testing, monitoring, and iteration.
Data, search, and integration
Knowledge quality, access controls, AI Search, contextual data, CMDB and workflow records, model connections, APIs, IntegrationHub, and reliable grounding.
AI governance and value
AI Control Tower, asset inventory, lifecycle, risk, policy, security, evaluation, observability, adoption, realized value, and accountable ownership.
02 — Practitioner screening
AI ownership begins where the demo ends.
Real ServiceNow AI ownership shows up when data is incomplete, permissions matter, outputs vary, and an agent can take action in a production workflow. We look for the decisions that made the experience useful, bounded, measurable, and supportable.
QUESTION/01
Why was this an AI use case?
We ask what problem justified AI, how the team compared simpler automation, which outcome mattered, and what evidence supported moving from experiment to production.
QUESTION/02
What was the model allowed to know and do?
We follow source data, knowledge, permissions, tools, scripts, flows, approvals, action boundaries, and human handoffs to understand how access and behavior were controlled.
QUESTION/03
How did you know it was ready?
We look for test datasets, evaluation criteria, expected failure modes, guardrails, fallback behavior, monitoring, feedback, adoption, and outcome measures after release.
03 — Roles we place
The right AI seat, clearly defined.
We recruit across permanent, contract, and contract-to-hire needs. The search starts with the use cases, platform products, data, workflow actions, governance responsibilities, and production outcomes the person must own.
AI/01
ServiceNow AI Architect
AI operating model, solution design, data and workflow architecture, security, governance, integrations, and technical direction.
AI/02
Now Assist Specialist
Now Assist configuration, use cases, skills, prompts, search, conversational experiences, testing, adoption, and value realization.
AI/03
AI Agent Developer
Agent roles, tools, instructions, orchestration, flows, scripts, integrations, guardrails, evaluation, deployment, and monitoring.
AI/04
AI Platform Developer
Generative AI skills, platform workflows, custom applications, APIs, automation, security, testing, and maintainable extensions.
AI/05
AI Product / Governance Owner
Use-case portfolio, policy, lifecycle, risk, controls, adoption, stakeholder alignment, operating health, and measurable outcomes.
AI/06
AI Data / Integration Specialist
Knowledge, search, contextual data, CMDB, model providers, external systems, APIs, IntegrationHub, access controls, and grounding.
04 — Start the conversation
Tell us what the AI capability must improve.
On the first call, we’ll give you an honest view of search difficulty, candidate availability, and likely timing. If the brief is still broad, we’ll help separate AI specialization from the platform, data, workflow, and governance ownership around it.
Looking for your next ServiceNow AI role? Introduce yourself confidentially.