GenAI ServiceNow Forward Deployed Engineer

Deloitte France

Philadelphia (Philadelphia County)

On-site

USD 135,000 - 265,000

Full time

14 days+
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Job summary

Deloitte is seeking a ServiceNow Forward Deployed Engineer (FDE) in the United States to rapidly prototype and deliver GenAI-enabled solutions for clients. You will collaborate with senior stakeholders and engineers, delivering working software from day one while mentoring teammates and contributing reusable assets.

You will engage with clients to translate business needs into AI solutions, lead sessions, and design scalable patterns across enterprise AI platforms.

Qualifications

  • Bachelor's degree in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available
  • 4+ years of relevant ServiceNow IT consulting or industry experience
  • 3+ years of experience in large technology engagements
  • 2 full life cycle ServiceNow implementations
  • Team lead experience
  • Certified Application Developer (CAD)
  • Familiarity with ServiceNow GenAI capabilities such as Now Assist and AI Agents
  • Hands-on ServiceNow development experience across Flow Designer, Integration Hub, Service Portal, App Engine, and the Now Platform APIs. ServiceNow SDK experience with Claude and/or GitHub is a plus
  • Custom scripting experience across Business Rules, Script Includes, UI Actions, Client Scripts, and Scheduled Jobs, with attention to performance optimization
  • Hands-on experience using Claude Code as a development accelerator, driving its agentic loop to plan, implement, test, and refactor ServiceNow code
  • Familiarity with authoring CLAUDE.md project memory files and using Claude Code MCP integrations (e.g., GitHub, Jira) within IDE and terminal workflows

Responsibilities

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

Skills

GenAI/LLM dev
ServiceNow dev
CI/CD
Client engagement
Team leadership
Cloud skills
Scripting
Claude Code

Education

Bachelor's degree in CS/DS/Engineering
Advanced degree in specialization

Tools

ServiceNow Platform
Now Assist / AI Agents

Job description

Deloitte is seeking a ServiceNow Forward Deployed Engineer (FDE) in the United States to rapidly prototype and deliver GenAI-enabled solutions for clients. You will collaborate with senior stakeholders and engineers, delivering working software from day one while mentoring teammates and contributing reusable assets.

You will engage with clients to translate business needs into AI solutions, lead sessions, and design scalable patterns across enterprise AI platforms.

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