Lead Forward Deployed Engineer, Snowflake

Position Summary 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 leadersLead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scalingNavigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared visionRepresent 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 healthEnforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gatesCoordinate 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 controlsGovern 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 codeGuide architecture of data pipelines powering GenAI use casesEnforce strong data management, testing, CI/CD, logging, versioning, and documentation practicesDeep 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 environments1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions1+ 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 serveLimited immigration sponsorship may be available10+ years of consulting or relevant industry experience4+ years of experience overseeing multiple project teamsServiceNow ITSM certificationCertified Application Developer (CAD)A minimum of 2 full life cycle ServiceNow ITSM implementationsA minimum of 2 ServiceNow upgrade deploymentsExperience across IT Service Management, Incident Management, Problem Management, Change Management, Release Management, and Root Cause Analysis (RCA)Experience with the ITIL framework3+ years' experience as an engagement managerProject scoping, estimating, and planning experienceSales experienceExperience 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 plusProven 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 plusTrack record deploying Claude Code-augmented delivery at scale, including agentic workstreams, MCP orchestration, subagent parallelization, and hooks-based guardrails across engagementsExperience building reusable Claude Code skill libraries and slash commands for ServiceNow development patterns to accelerate delivery across a practiceExperience training and upskilling customer engineering teams on agentic coding best practicesDemonstrated 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 evaluationExperience 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 businessExperience developing client relationships, identifying new opportunities, and shaping follow-on engagements for continuous improvementBusiness development experience selling 3+ year deals, including offering structure and support for those dealsAn 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. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at View email address on click.appcast.io. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. 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. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 362320 Job ID 362320 Engineering and Product | Engineering and Product GeneralistSame job available in 46 locations