Senior Forward Deployed Engineer, Palantir

About the role

As a Senior ServiceNow Forward Deployed Engineer (FDE) at Deloitte, 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 role requires a highly motivated practitioner who moves with speed and precision, building working software and engaging confidently with senior stakeholders to drive measurable business impact from day one.

Responsibilities

• Client Engagement
  • 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, building trusted relationships and managing expectations.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals, articulating business value, and documenting solutions for smooth client handoff.
  • Strengthen team impact by mentoring other FDEs through design/code reviews and contributing reusable components to intellectual capital.
• Solution Engineering
  • 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.

The team

Our ServiceNow practice develops strategies and implements systems that help organizations build business value and improve performance. Drawing on deep experience solving complex IT and non-IT challenges globally, we guide clients through everything from system replacement to full enterprise transformation. We partner with COOs, CHROs, CFOs/CPOs, CISOs, CIOs/CTOs, technology executives, and service owners across HR, IT, Customer, Field Service, and Project Portfolio Management to modernize technology delivery and operating models. By focusing on NextGen technologies and evolving service models, we help clients shift from foundational technology delivery to becoming the strategic business partner and catalyst for change.

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 client needs.
• 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.

Preferred Qualifications

• 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 in 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.

Pay

A reasonable estimate of the current range is $155,600 - $306,800. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including individual and organizational performance.