ServiceNow AI Architect
Austin, Minnesota, United States of America
Contract
1 day ago
$90 - $100 USD
Key skills
CAIArtificial IntelligenceMachine LearningMLGenerative AIRAGAgenticAWSApp EngineServiceNowLeadershipCommunication
About this role
RESPONSIBILITIES:
Kforce has a client in Austin, TX that is seeking a ServiceNow AI Architect.
Responsibilities:
* Lead enterprise AI transformation engagements - from opportunity identification and business case development through to operating model design and value realization
* Advise C-suite and senior stakeholders on AI strategy, prioritization frameworks, and transformation roadmaps tailored to their industry, maturity, and risk appetite
* Facilitate discovery workshops, current-state assessments, and future-state visioning sessions to establish a shared transformation agenda
* Define AI-enabled target operating models, including process redesign, workforce impact analysis, and governance structures
* Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI Control Tower, RAG, knowledge graphs, and enterprise integrations (A2A, MCP)
* Provide hands-on architecture leadership during pilot and early-phase delivery, establishing patterns and standards for broader team execution
* Develop reusable practice IP: reference architectures, deployment patterns, transformation playbooks, and verticalized use-case catalogs
* Define and embed AI governance frameworks covering data stewardship, model risk, bias controls, audit trails, and compliance postures
* Support customers in operationalize responsible AI practices aligned to regulatory requirements and internal policies
* Partner with AI Control Tower to establish monitoring, observability, and continuous optimization capabilities post-deployment
* Lead AI adoption strategies including readiness assessments, stakeholder engagement plans, AI literacy programmers, and change communications
* Define adoption KPIs and value realization metrics; Track and report outcomes; Provide consultative guidance for continuous optimization and expansion
REQUIREMENTS:
* AI/ML certifications (e.g. AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent) are desirable; ServiceNow certifications (Certified System Administrator, Certified Implementation Specialist, Certified Technical Architect) are desirable
* 10+ years of experience in management consulting, enterprise architecture, or a senior technology advisory role, with a demonstrated focus on Artificial Intelligence, Machine Learning, or digital transformation at enterprise scale
* Background in one or more target industries - Financial Services, Healthcare, Public Sector, Manufacturing, or Retail - is highly desirable
* Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving; This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
* ServiceNow domain knowledge, including: Now Assist and Generative AI Skills / Skill Kit, AI Agents and Agentic workflows, AI Control Tower, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agent-to-Agent (A2A), and Model Context Protocol (MCP)
* Proven track record designing and managing complex, multi-stakeholder AI or digital-transformation engagements - including use-case definition, business case development, integration, data strategy, governance, and operational adoption
* Strong understanding of enterprise data architecture, data quality, knowledge management, integrations, and compliance and regulatory frameworks
* Excellent communication and interpersonal skills - ability to articulate technical and business value to C-level executives, align stakeholders, and influence strategic decision-making
* Broad familiarity with the ServiceNow platform and modules (ITSM, CSM, FSM, HRSD, App Engine), ideally including implementation or architecture experience
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client in Austin, TX that is seeking a ServiceNow AI Architect.
Responsibilities:
* Lead enterprise AI transformation engagements - from opportunity identification and business case development through to operating model design and value realization
* Advise C-suite and senior stakeholders on AI strategy, prioritization frameworks, and transformation roadmaps tailored to their industry, maturity, and risk appetite
* Facilitate discovery workshops, current-state assessments, and future-state visioning sessions to establish a shared transformation agenda
* Define AI-enabled target operating models, including process redesign, workforce impact analysis, and governance structures
* Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI Control Tower, RAG, knowledge graphs, and enterprise integrations (A2A, MCP)
* Provide hands-on architecture leadership during pilot and early-phase delivery, establishing patterns and standards for broader team execution
* Develop reusable practice IP: reference architectures, deployment patterns, transformation playbooks, and verticalized use-case catalogs
* Define and embed AI governance frameworks covering data stewardship, model risk, bias controls, audit trails, and compliance postures
* Support customers in operationalize responsible AI practices aligned to regulatory requirements and internal policies
* Partner with AI Control Tower to establish monitoring, observability, and continuous optimization capabilities post-deployment
* Lead AI adoption strategies including readiness assessments, stakeholder engagement plans, AI literacy programmers, and change communications
* Define adoption KPIs and value realization metrics; Track and report outcomes; Provide consultative guidance for continuous optimization and expansion
REQUIREMENTS:
* AI/ML certifications (e.g. AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent) are desirable; ServiceNow certifications (Certified System Administrator, Certified Implementation Specialist, Certified Technical Architect) are desirable
* 10+ years of experience in management consulting, enterprise architecture, or a senior technology advisory role, with a demonstrated focus on Artificial Intelligence, Machine Learning, or digital transformation at enterprise scale
* Background in one or more target industries - Financial Services, Healthcare, Public Sector, Manufacturing, or Retail - is highly desirable
* Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving; This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
* ServiceNow domain knowledge, including: Now Assist and Generative AI Skills / Skill Kit, AI Agents and Agentic workflows, AI Control Tower, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agent-to-Agent (A2A), and Model Context Protocol (MCP)
* Proven track record designing and managing complex, multi-stakeholder AI or digital-transformation engagements - including use-case definition, business case development, integration, data strategy, governance, and operational adoption
* Strong understanding of enterprise data architecture, data quality, knowledge management, integrations, and compliance and regulatory frameworks
* Excellent communication and interpersonal skills - ability to articulate technical and business value to C-level executives, align stakeholders, and influence strategic decision-making
* Broad familiarity with the ServiceNow platform and modules (ITSM, CSM, FSM, HRSD, App Engine), ideally including implementation or architecture experience
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.