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Added 1 min ago
Senior Member of Technical Staff, Platform Engineer (Infra)
Pallet
San Francisco, CA · NY
You could be an Infrastructure Engineer anywhere. Why us?
Added 1 min ago
Senior Member of Technical Staff, Platform Engineer (Infra)
Pallet
NY · San Francisco, CA
You could be an Infrastructure Engineer anywhere. Why us?
Added 59 mins ago
Principal Software Engineer - Agentic AI & Simulation Automation
Irving, TX
This Principal Engineer role is a hands-on technical leadership position responsible for architecture, critical implementation, engineering standards, cross-team alignment, and mentoring.
Added 1 hour ago
Solution Architect (AWS / AI)
CapNexus
NY
Partner with the Lead Engineer as a peer: you decide the architecture, and they decide the implementation approach.
Added 1 hour ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Harrisburg, PA
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 1 hour ago
TT
Senior Infrastructure Engineer
True Talent Solutions Partners
San Francisco, CA
- $150,000 to $300,000 USD / year
- Partner with AI research and product teams to optimize infrastructure for LLM inference, training, and agent workloads.
Added 1 hour ago
Principal Identity Security Engineer - Privileged Access Management (PAM)
Boston Scientific
Arden Hills
We are seeking a Principal Identity Security Engineer specializing in Privileged Access Management (PAM) to provide advanced technical leadership in the architecture, engineering, security…
Added 1 hour ago
TT
Senior Forward Deployed Engineer, Operate
True Talent Solutions Partners
New York, NY
- $170,000 to $205,000 USD / year
Join a healthtech team delivering production AI agent systems for healthcare and life sciences organizations. You will own technical delivery from early client discussions through…
Added 1 hour ago
TT
Member of Technical Staff, AI Agents
True Talent Solutions Partners
New York, NY
- $150,000 to $300,000 USD / year
- Explore model and agent-tool choices for different use cases, and improve workflows through practical experimentation.
Added 1 hour ago
AI Engineer 4 (AI Foundations: World Model, RL, Causal Inference, Sequential Data)
Capital One
McLean, VA · Cambridge, MA · San Jose, CA · NY
…training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability,…
Added 1 hour ago
AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)
Capital One
McLean, VA · San Francisco, CA · Cambridge, MA · San Jose, CA · NY
…training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability,…
Added 1 hour ago
Software Engineer - AI & Agentic Systems
Cisco
San Jose, CA
We are seeking a Software Engineer to help our team design, build, and operate practical AI tools that improve how people find information, automate tasks, and integrate AI into their daily…
Added 1 hour ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Trenton, NJ
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 1 hour ago
S
Software Engineer, Back-End - Go (NY)
Superhuman
New York, NY
- $154,000 to $258,000 USD / year
- Build and operate high-throughput production services that power AI agent orchestration, connector integrations, and real-time data pipelines.
Added 1 hour ago
Senior DBA -1 (Database Reliability Engineer)
LexisNexis Risk Solutions FL Inc. Company
Remote, United States
As a Database Engineer (DBA), you will design, build, automate, and operate mission-critical database platforms in a cloud-first environment. This is a hands-on engineering role for someone…
Added 2 hours ago
OW
Forward Deployed Product Manager (SF/NY)
Ode with Anthropic
San Francisco, CA · San Jose, CA · New York City, NY
- $200,000 to $275,000 USD / year
How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors…
Added 2 hours ago
I
Lead Product Manager, Agentic Commerce
Imprint
San Francisco, CA · New York City, NY
- $190,000 to $210,000 USD / year
- Track the agentic payments ecosystem (network and wallet agent programs, agent payment protocols, tokenization) and decide where Imprint should build, partner or wait.
Added 2 hours ago
S
Software Engineer, Front-End (New York)
Superhuman
New York, NY
- $163,500 to $235,000 USD / year
…content in real time, design interaction patterns for inline agent suggestions that appear while users are writing, and create the tools that let anyone build and customize their own AI…
Added 2 hours ago
GL
Principal - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $205,425 to $342,375 USD / year
Lead multi-FDE engagement teams, directing Staff, Senior, and Engineer-level FDEs across concurrent engagements within assigned business units.
Added 2 hours ago
Staff - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
Strong technical depth in GenAI patterns, including agents, multi-agent orchestration, RAG, and evaluation.
Added 2 hours ago
Backend Software Engineer
Raydar
New York, NY
- Shape the prompts, tools, evaluation suites and safety controls that govern agent behavior.
Added 2 hours ago
Systems Engineer, Platform Engineering
Quanta Services
Houston, TX
Contribute to LangGraph-based agent flows under the direction of senior engineers
Added 2 hours ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Austin, TX
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 2 hours ago
Platform Engineer, Cloud AI Infrastructure, Sr
OnPoint Community Credit Union
Portland, OR
Engineer the infrastructure foundations for AI services, agent workloads, Databricks, and related enterprise data and automation platforms.
Added 2 hours ago
Senior Engineer-AI & Full Stack Engineering Lead
Bank of America, National Association
United States
Familiarity with agent orchestration, MCP, and AI platform integration patterns

ServiceNow

Staff Machine Learning Engineer

Santa Clara, CA, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone - freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow - helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people.

Job Description

About the Team The Agentic Engineering organization at ServiceNow is the customer-obsessed engineering group that builds a conversational AI experience that turns enterprise intent into completed work. We advance how enterprise AI reasons, remembers, and executes. The Agent Orchestration team - the team you'll join - owns the execution core: the agent harness, orchestration runtime, multi-agent coordination, memory management, and the evaluation frameworks that ensure agents behave correctly in production. Every autonomous action Otto promises depends on what this team ships. By joining our team, you’ll be at the forefront of our AI transformation journey, backed by the global scale of ServiceNow and the agility of a high-growth environment. We are looking for world-class talent to help us extend agentic AI to every employee across every corner of the business

What you get to do in this role:

As a Staff AI Engineer, you will own significant parts of the agent harness - the infrastructure layer that enables AI agents to reason over real enterprise data, take action across workflows, and run safely at Fortune 500 scale.

Harness engineering: Design and build the agent execution harness - the orchestration layer that routes inputs, manages context, invokes tools, handles retries, and surfaces execution state across multi-step agentic workflows
Reliability at scale: Own the runtime's fault tolerance, latency, and throughput; design for enterprise workflows that cannot fail silently or unpredictably
Observability: Instrument the harness with tracing, cost attribution, and latency visibility so the team can reason about agent behavior in production and catch failures before customers do
Prompt infrastructure: Build prompt management systems - versioning, templating, and systematic evaluation - that keep agent behavior stable across model updates and configuration changes
Eval engineering: Design and own evaluation frameworks (unit evals, integration evals, production monitors) that measure agent quality, catch regressions, and drive data-informed decisions
LLM integration: Integrate with and abstract over frontier LLMs, managing model routing, fallback strategies, cost, and latency trade - offs in production
Technical leadership: Set technical standards through architecture decisions, code reviews, and coaching - particularly on agentic design patterns and production AI discipline.
System boundary design: Define where agent logic lives - what's a tool call, a sub-agent, a hardcoded path, or a human escalation - and establish those design standards across the team

Qualifications

To be successful in this role you have:

7+ years building production software systems with a strong track record on reliability, performance, and scalability
Hands-on experience shipping generative AI products - not just integrating LLM APIs or building prototypes, but owning AI-powered features that production users depend on
Solid depth in how large language models work: failure modes, context constraints, and how prompt design shapes model behavior at scale
Python, Kubeflow,Experience with SageMaker, Vertex AI or AzureML, SQL
Practical prompt engineering experience: systematically designing, versioning, and evaluating prompts across model updates or A/B evaluation cycles
A real track record in eval engineering - not just familiarity, but a portfolio of evaluation suites designed, shipped, and used to drive quality decisions in production AI systems
Cost and efficiency awareness at the system level: experience reasoning about model routing, inference cost, and latency tradeoffs in production
Strong software engineering fundamentals: distributed systems, API design, and testing discipline
Comfort operating in fast-moving, ambiguous, startup-like AI product environments

Nice to Have

Experience with multi-agent coordination patterns (A2A, MCP)
Familiarity with agent frameworks (LangChain, LlamaIndex, or similar)
Prior experience shipping AI systems in enterprise software
Experience with AI observability tooling (tracing, cost tracking, LLM-specific monitoring)
Familiarity with cloud-native infrastructure, service observability, logging, monitoring, reliability engineering, and production troubleshooting

For positions in this location, we offer a base pay of $176,100 - $308,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

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More about this job

Skills

Machine learning
ServiceNow
Leadership
Coaching
Industrial software
Python
Kubeflow
SQL
API development
LangChain
Troubleshooting
Sales

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