Agentic AI Harness Architect - Moveworks
ServiceNow8 hours ago
Base Salary
$201k - $352k/yr
Responsibilities
- Set the technical vision and architecture for the Moveworks agentic AI harness.
- Invent, prototype, and evaluate algorithms for planning, tool use, memory, reasoning, reflection, adaptation, recovery, and reliable completion of complex tasks.
- Design model-agnostic abstractions combining foundation models, specialized agents, enterprise tools, policies, and deterministic workflows.
- Develop agent memory and learning approaches using execution traces, user feedback, and task outcomes while preserving security and privacy.
- Create benchmarks and evaluations for tool-use correctness, plan quality, task completion, groundedness, policy compliance, latency, and cost.
- Build high-fidelity prototypes and guide promising approaches into production with platform and product teams.
- Partner across Agentic Systems, Search, Relevance, ML Infrastructure, Product, and Security.
- Remain hands-on with code and experiments while influencing architecture, mentoring senior engineers, and raising technical standards.
Requirements
- Deep expertise in machine learning or artificial intelligence with strong systems judgment and end-to-end product architecture skills.
- Meaningful experience with AI agents, reasoning and planning, tool use, coding agents, conversational systems, reinforcement learning, or related areas.
- Experience turning ambiguous research questions into working prototypes, measurable hypotheses, and durable technical direction.
- Strong understanding of tradeoffs among model capability, context, memory, latency, cost, reliability, and system complexity.
- Experience designing evaluations and benchmarks for probabilistic systems based on task outcomes.
- Excellent programming skills, expected Python expertise, and ability to work with modern machine learning and agent stacks; production-systems language experience is valuable.
- Evidence of technical leadership across teams and ability to influence roadmaps and guide senior engineers without formal authority.
- Typically 8 or more years of relevant industry or research experience, or an equivalent record of exceptional technical and research impact.
- Preferred qualifications include a master’s degree or PhD in computer science, machine learning, artificial intelligence, or a related field, or equivalent practical experience.
- Preferred experience includes published research, influential open-source work, new agent architectures, core AI products, enterprise identity and authorization, auditability, privacy, policy enforcement, safe tool execution, and productionizing distributed systems.
Benefits
- Health plans, flexible spending accounts, a 401(k) plan with company match, ESPP, matching donations, flexible time away, and family leave programs.
- Work persona is required in office for this position.
Tech Stack
Categories
AI Research
About ServiceNow
ServiceNow builds a cloud platform for enterprise digital workflows, covering IT service management, customer service, HR service delivery, security operations, and operations management, plus tools for custom app development. It sells subscription SaaS to large organizations and public-sector agencies to automate processes and connect data across systems. Founded in 2004 and headquartered in Santa Clara, California, ServiceNow is a public company listed on the NYSE under the ticker NOW.