Design and implement enterprise-wide solutions, with a focus on HR AI.
Leverage ServiceNow (including NowAssist) capabilities as well as other AI tools and capabilities (ChatGPTe, Flowise, etc.)
Lead the design of AI-driven HR chatbot and AI agent use cases
Collaborate with HR stakeholders to translate requirements into robust architectural designs
Perform technical analysis and present architecture decisions/recommendations to key stakeholders
Define integration patterns across systems, ensuring alignment with enterprise standards and protocols
Monitor and improve AI performance and adoption in HR service delivery
Contribute to AI strategy and governance within the HR technology ecosystem
Work directly with HR stakeholders to refine use cases, translating ambiguous needs into clear, scalable designs
Define how the HR chatbot and AI agents behave—how they answer questions, trigger transactions, and interact with systems like Workday and ChatGPTe
Design how LLMs connect to APIs, workflows, and data sources—ensuring solutions are practical, secure, and maintainable
Attend requirements gathering sessions with business stakeholders
Design complex chatbot flows and agentic AI use cases
Define integrations and architecture for HR AI solutions (APIs, MCP)
Make product or technology recommendations for AI solutions, evaluating and selecting appropriate tools and platforms to meet business needs
Analyze and model technical solutioning options, considering scale, security, UX, business value and cost implications
Provide technical assessments, highlighting capabilities, limitations, and trade-offs to non-technical stakeholders
Research industry best practices for AI technologies in HR service delivery
Work with platform vendor to provide usage feedback and request product changes.
Knowledge share and collaborate with other technical teams to implement architectural standards across the organization

Requirements

Advanced Degree plus 6 years of experience, or Bachelor's Degree plus 8 years of experience in enterprise architecture with progressive technical leadership responsibilities
Experience with OpenAI products is highly advantageous (e.g., AgentKit, Agent Builder, OpenAI API, ChatKit, MCP Servers)
Experience designing LLM-based solutions in enterprise environments
Experience with building AI agents and multi-agent orchestration (MCP experience is a plus)
Strong skills in prompt engineering, system instruction design, and orchestration
Familiarity with multiple AI development platforms
Knowledge of RAG including chunking, embeddings, reranking, and retrieval strategies
Understanding of hallucination mitigation, grounding, citations, and knowledge freshness
Ability to evaluate AI outputs and define performance metrics
Knowledge of AI governance, risk, and data privacy
Experience with building ServiceNow Virtual Agent topics with Now Assist
Familiarity with AI Agent Studio and AI-powered ServiceNow capabilities
Experience integrating ServiceNow with external AI platforms (OpenAI, AWS, etc.)
Strong understanding of Flow Designer, IntegrationHub, Scripted REST APIs, and outbound integrations
Experience designing HRSD solutions (Case Management, Knowledge, Employee Center) is a plus
Deep expertise in cloud architecture, cybersecurity, data/analytics, automation, and network infrastructure
Proven experience designing and implementing large-scale enterprise solutions
Strong knowledge of modern architectural patterns, frameworks and best practices
Experience with cloud platforms (AWS, Azure, GCP) and associated services
Expertise in infrastructure as code, automation, and DevOps practices
Strong understanding of security principles and compliance requirements
Strong stakeholder management and executive communication abilities
Demonstrated ability to guide and influence through collaboration
Strong analytical and problem-solving capabilities with attention to detail
Experience with Agile methodologies and project delivery frameworks
Excellent written and verbal communication skills
Ability to translate complex technical concepts for non-technical audiences.

Benefits

A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI-driven HR solutionsprompt engineeringsystem instruction designmulti-agent orchestrationLLM-based solutionsintegration patternscloud architectureinfrastructure as codeDevOps practicesdata privacy

Soft Skills

stakeholder managementexecutive communicationcollaborationanalytical capabilitiesproblem-solvingattention to detailability to translate technical conceptstechnical assessmentsrequirements gatheringdesign thinking

Certifications

Advanced DegreeBachelor's Degree