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HR Reinvention Consulting Sr. Manager, High Tech, Comms & Media or Software & Platforms
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Mountain View, CA · Culver City, CA · Sacramento, CA · Walnut Creek, CA · San Francisco, CA · San Diego, CA
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Lead Forward Deployed Engineer, Microsoft AI & Data
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Sacramento, CA · San Diego, CA · Costa Mesa, CA · San Jose, CA · Los Angeles, CA · San Francisco, CA
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San Diego, CA · Costa Mesa, CA · San Francisco, CA · Los Angeles, CA · Sacramento, CA · San Jose, CA
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San Diego, CA · Sacramento, CA · San Francisco, CA · San Jose, CA · Los Angeles, CA · Costa Mesa, CA
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Lead Forward Deployed Engineer, ServiceNow
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AI Engineer II
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AI Engineer III
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Software Dev Engineer, AWS CX - Cloudscape
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Added 41 mins ago
Software Dev Engineer, AWS CX - Cloudscape
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…teams across all AWS service builders community. You will use GenAI technologies, validation agents to develop and validate the UX produced using LLM. You will own systems end-to-end - from…

Closed listing

Deloitte

Lead Forward Deployed Engineer, ServiceNow

Denver, CO, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Aug 11, 2026

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Original job description

Archived listing. The details below describe a past opening.

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.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Lead ServiceNow FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale.

Client Engagement

Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling
Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.

Cross-Functional Pod Leadership & Program Governance

Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health
Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
Mentor and develop junior FDEs

GenAI Solution Development

Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.
Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.

Engineering & Data Foundations

Review and contribute to production-quality code
Guide architecture of data pipelines powering GenAI use cases
Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices
Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)

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 that today's operational demands require.

Required qualifications

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
7+ 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
10+ years of consulting or relevant industry experience
4+ years of experience overseeing multiple project teams
ServiceNow ITSM certification
Certified Application Developer (CAD)
A minimum of 2 full life cycle ServiceNow ITSM implementations
A minimum of 2 ServiceNow upgrade deployments
Experience across IT Service Management, Incident Management, Problem Management, Change Management, Release Management, and Root Cause Analysis (RCA)
Experience with the ITIL framework
3+ years' experience as an engagement manager
Project scoping, estimating, and planning experience
Sales experience
Experience leading ServiceNow GenAI/agentic transformations (Now Assist, AI Agents) with familiarity governing enterprise AI via ServiceNow AI Control Tower; exposure to Moveworks-based conversational AI a plus
Proven ability to lead architecture of enterprise-scale ServiceNow solutions and advise CIOs and technology executives on platform strategy, roadmap, and capability adoption. ServiceNow SDK experience with Claude and/or GitHub is a plus
Track record deploying Claude Code-augmented delivery at scale, including agentic workstreams, MCP orchestration, subagent parallelization, and hooks-based guardrails across engagements
Experience building reusable Claude Code skill libraries and slash commands for ServiceNow development patterns to accelerate delivery across a practice
Experience training and upskilling customer engineering teams on agentic coding best practices
Demonstrated ability to quantify and communicate delivery acceleration to executive stakeholders (e.g., runbooks and documentation evidencing reduced delivery time)

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 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 Certified Master Architect (CMA) or Certified Technical Architect (CTA)
4+ years of experience generating new client business
Experience developing client relationships, identifying new opportunities, and shaping follow-on engagements for continuous improvement
Business development experience selling 3+ year deals, including offering structure and support for those deals
An advanced degree

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $223,700 to $372900.

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, without limitation, individual and organizational performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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More about this job

Skills

ServiceNow
Problem solving
Debugging
Leadership
Communication skills
Risk management
Data management
CI/CD
Documentation
AWS
Microsoft Azure
Google Cloud
Computer science
Data engineering
IT service management
Change management
Root cause analysis
ITIL
Estimating
Sales
GitHub
Identity and access management
Apache Spark
Apache Airflow
dbt
Data modelling
ML
Microservices
CMA
Process improvement

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