Senior Forward Deployed Engineer, ServiceNow

Deloitte•Jersey City, NJ

79d•$155,600 - $306,800•Onsite

About The Position

At Deloitte, Forward Deployed Engineers (FDE) don’t just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. As a Senior ServiceNow FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one.

Requirements

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
5+ 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
8+ years of technology implementation experience
6+ years of ServiceNow implementation experience
4+ years of team lead experience
Proposal/RFP/sales experience
Experience across ServiceNow applications and modules
Certified Application Developer (CAD)
Experience delivering ServiceNow GenAI/agentic solutions (Now Assist, AI Agents) and familiarity with AI governance tooling such as ServiceNow AI Control Tower; exposure to Moveworks a plus
Proven ability to architect scalable, best-practice ServiceNow solutions 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
Working knowledge of the ServiceNow roadmap and release cycles, with the ability to advise clients on upgrade paths and new capability adoption
Demonstrated use of Claude Code to accelerate delivery, including agentic multi-file workstreams, CLAUDE.md project memory, MCP server integrations, and parallel subagents for concurrent work such as feature development, test generation, and security review
Experience configuring Claude Code hooks to enforce pre- and post-tool quality, compliance, and security guardrails
Experience upskilling engineering teams on agentic coding practices, including context management, CLAUDE.md authoring, prompt engineering, subagent orchestration, and MCP integration

Nice To Haves

Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
Experience operating within hybrid onshore/offshore teams
Familiarity with security, privacy, and compliance considerations
ServiceNow certification in one or more areas
An advanced degree in the area of specialization
Module experience across CSM, Creator Workflow, ITxM, HRSD, IRM/GRC, and Source-to-Pay (S2P)
Experience with GBS on Now, Now Assist, and Creator Workflow

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.
Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.
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.