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Senior Engineer, IAM Platform Engineering
AmerisourceBergen
Conshohocken, PA
…related certifications. 5. Experience working within Agile, DevOps, or DevSecOps environments. What Cencora offers We provide compensation, benefits, and resources that enable a highly…
Added 1 min ago
Cyber Security Engineer (5462)
SMX
Harrisburg, PA
The Cyber Security Engineer will provide security engineering, compliance, and risk management support for cloud-based systems aligned with NIST SP 800-53, FedRAMP, and DoD IL4–6…
Added 1 min ago
Vice President, Cloud Platform Engineer
SitusAMC
Harrisburg, PA
…Docker, Kubernetes, and familiar with Git development. The Engineer is expected to provide strategy and implement enterprise-scale automation for scalability, performance, security, and…
Added 1 min ago
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.NET Full stack Engineer with C#
Cognizant
Harrisburg, PA
- $86,000 to $99,000 USD / year
As a Senior Software Engineer , you will make an impact by designing, developing, and modernizing enterprise healthcare payer applications that support critical business functions including…
Added 1 min ago
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.NET Full stack Engineer with C#
Cognizant
Harrisburg, PA
- $86,000 to $99,000 USD / year
As a Senior Software Engineer , you will make an impact by designing, developing, and modernizing enterprise healthcare payer applications that support critical business functions including…
Added 1 min ago
C
.NET Full stack Engineer with C#
Cognizant
Harrisburg, PA
- $86,000 to $99,000 USD / year
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Added 1 min ago
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Senior Software Engineer
Akamai Technologies, Inc.
Harrisburg, PA
- $121,400 to $218,600 USD / year
…closely with Cloud Engineers, Product Engineers, Data science and DevOps to manage projects, provide creative solutions, and develop successful…
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Senior Software Engineer (Platform Engineering)-Remote, USA
Tempus AI, Inc.
Remote, United States
- $130,000 to $150,000 USD / year
The Senior Software Engineer is a hands-on technical leader responsible for architecting and delivering the Java-based services at the core of Ambry's platform modernization. This role…
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Staff Engineer - Merchandising Software
AEO Employment Services Co LLC
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Senior Platform Engineer
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New York, NY
- $175,000 to $220,000 USD / year
- A solid DevOps foundation, including CI/CD, infrastructure as code, observability, and automated deployments.
Added 15 mins ago
Java Software Engineer - Observability & Resiliency
Garmin International, Inc.
Olathe, KS
We are seeking a full-time Software Engineer to join our Cloud Enablement team at Garmin's U.S. headquarters in the Greater Kansas City area.
Added 18 mins ago
Senior Business Analyst -Technical
Wolters Kluwer DXG U.S., Inc.
Coppell, TX
…technical acumen and the ability to leverage AI tools to reverse engineer existing applications, discover business rules, generate specifications, validate requirements, and support…
Added 25 mins ago
AI/ML Computational Science Associate Manager
Accenture LLP Company
United States
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps
Added 28 mins ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Remote, United States
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…
Added 32 mins ago
Full Stack Engineer
Infisical
Remote, United States
We’re looking for an exceptional Full Stack Engineer to help us build, optimize, and expand the foundation of the platform.
Added 32 mins ago
Senior Full Stack Engineer
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ADP Innovation Labs is looking for a Sr. Lead Software Engineer with extensive NodeJS experience to join an emerging team.
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As a Data Engineer , you will play a vital role in supporting the broader Data Engineering community to deliver cutting-edge data and analytics platforms for our Global Drug Development…
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Apply emerging technologies - such as generative AI, cloud platforms, automation tools, or DevOps practices - based on project needs and team direction.
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Salesforce DevOps / Release Engineer
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Staff Databricks Platform Engineer
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The Staff Databricks Platform Engineer owns the engineering of Southern Glazer's Databricks lakehouse as a product: the workspaces, governance model, compute fabric, and automation that…
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Prepare, transform, and engineer data for ML and GenAI use cases.

ServiceNow

Forward Deployed Solution Engineer – Applied AI FDE

Remote, United States

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Job details

Experience: Relevant Experience: 8+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles.
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

Team Bio:

ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise.

Why This Role Matters:

Enterprises are raising the bar. AI initiatives must deliver business value - not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure, and scalable software. As a Forward Deployed Software Engineer (FDSE), you act as the CTO of the build - owning everything from backend services to LLM pipelines and front-end integrations. You partner with customers in the field to design, implement, and deliver solution-ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate innovation - delivering systems that are battle-tested in production and scalable across industries.

Who You Are:

You are a systems-minded, AI-native engineer who ships real software. You own the full stack - and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product-minded CTO, balancing creativity with pragmatism to deliver impact.

What You’ll Do:

As a GenAI/ML Engineer on the FDE team, you will:

Forward Deployed Engineers sit alongside our customers and turn ambiguous business problems into working AI systems.
Partner directly with customers to discover problems and frame high-impact AI use cases.
Design and build end-to-end GenAI/ML systems - RAG pipelines, agentic workflows, evaluation, and guardrails - and ship them to production.
Prototype quickly, iterate with real users, and harden pilots into reliable, monitored services.
Own the technical relationship, translating between business stakeholders and engineering.
Raise the bar for ML depth and engineering quality across the team.

What Success Looks Like:

Production-grade delivery: Your solution builds consistently convert to scaled deployments in production environments
Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects
Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives
Velocity and precision: You move fast without breaking things - shaping resilient, secure systems in high-stakes contexts
Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one

Qualifications

What You Bring:

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
Relevant Experience: 8+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles. Experience building machine learning/ GenAI systems with modern AI/ML technologies, including LLMs, embeddings, vector databases, and RAG architectures.
System architecture: Proven ability to design and implement AI-native software in production environments
Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)
LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org
Product sensibility: Prioritize for user value, MVP iteration, and long-term scale
DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code
Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters

Preferred Qualifications:

Experience integrating AI into SaaS platforms like ServiceNow or Salesforce
Track record of production deployments in secure, regulated enterprise environments
Contributions to dev experience tooling, frameworks, or reusable AI scaffolds

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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Skills

ServiceNow
ML
Leadership
Decision making
Problem solving
Machine learning
Python
Node.js
Oracle Java
React
GraphQL
LangChain
Debugging
DevOps
AWS
Microsoft Azure
Google Cloud
CI/CD
Salesforce

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