Lead Forward Deployed Engineer - ServiceNow
About the job
- A bachelor's degree or equivalent in Computer Science, Data Science, or Engineering is required.
- At least 7 years of experience in software engineering, data engineering, data science, or analytics engineering is required.
- At least 1 year of hands-on experience building and deploying GenAI or large language model-powered solutions in client or production environments is required.
- At least 1 year of experience leading project workstreams or engagements and translating business problems into AI solutions is required.
- At least 1 year of experience building reliable, maintainable, and well-documented code is required.
- Willingness to travel an average of 50%, based on assignments and clients served, is required.
- At least 10 years of consulting or relevant industry experience is required.
- At least 4 years of experience overseeing multiple project teams is required.
- ServiceNow ITSM certification is required.
- Certified Application Developer certification is required.
- At least two full life-cycle ServiceNow ITSM implementations are required.
- At least two ServiceNow upgrade deployments are required.
- Experience across IT Service Management, Incident Management, Problem Management, Change Management, Release Management, and Root Cause Analysis is required.
- Experience with the ITIL framework is required.
- At least 3 years of experience as an engagement manager is required.
- Project scoping, estimating, and planning experience is required.
- Sales experience is required.
- Experience leading ServiceNow GenAI or agentic transformations, including Now Assist and AI Agents, and familiarity governing enterprise AI through ServiceNow AI Control Tower are required.
- The ability to lead architecture of enterprise-scale ServiceNow solutions and advise CIOs and technology executives on platform strategy, roadmap, and capability adoption is required.
- A track record deploying Claude Code-augmented delivery at scale, including agentic workstreams, MCP orchestration, subagent parallelization, and hooks-based guardrails across engagements, is required.
- Experience building reusable Claude Code skill libraries and slash commands for ServiceNow development patterns to accelerate practice delivery is required.
- Experience training and upskilling customer engineering teams on agentic coding best practices is required.
- The ability to quantify and communicate delivery acceleration to executive stakeholders, including through runbooks and documentation evidencing reduced delivery time, is required.
- Serve as the senior client-facing presence and build trusted-advisor relationships as the senior engineering partner for client product, data, and platform leaders.
- Lead executive-level discovery, define success metrics for quality, latency, cost, adoption, and risk, and establish a phased plan from prototype through production and scaling.
- Navigate organizational complexity and influence executive sponsors, IT leadership, and business owners to align them around a shared vision.
- Represent Deloitte’s forward-deployed engineering capability in client pursuits, executive briefings, and platform partner engagements, contributing to pipeline development and deal shaping.
- Lead forward-deployed engineering 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, including sprint cadences, stakeholder communication plans, risk management, and quality gates.
- Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and a consistent client experience.
- Mentor and develop junior forward-deployed engineers.
- Architect and oversee delivery of large language model-enabled applications, including copilots, agentic workflows, assistants, and knowledge search experiences, using enterprise AI platforms.
- Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls.
- Govern end-to-end retrieval-augmented generation 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, and ensure the pod meets the agreed engineering quality standards.
- Review and contribute to production-quality code.
- Guide the architecture of data pipelines that power generative AI use cases.
- Enforce strong practices for data management, testing, continuous integration and continuous delivery, logging, versioning, and documentation.
- Experience with cloud environments such as AWS, Azure, or Google Cloud and common platform services including storage, compute, identity and access management, and networking.
- Ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
- Data engineering experience with Spark, Airflow or dbt, streaming, or data modeling, or a machine learning/data science background in feature engineering, experimentation, or model evaluation.
- Experience with machine learning operations or large language model operations practices, including evaluation frameworks, model monitoring, and prompt management.
- Experience integrating large language model solutions with enterprise systems through APIs, microservices, or event-driven architectures.
- Experience operating within hybrid onshore/offshore teams.
- Familiarity with security, privacy, and compliance considerations.
- ServiceNow Certified Master Architect or Certified Technical Architect certification.
- At least 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 deals of 3 or more years, including structuring and supporting those offerings.
- An advanced degree.
- Exposure to Moveworks-based conversational AI.
- ServiceNow SDK experience with Claude or GitHub.
About the company
Deloitte audits companies and advises businesses and governments on tax, technology, and risk, and it is one of the Big Four, the world's four largest accounting firms. In 1849 its founder became the first independent auditor of a public company, Britain's Great Western Railway. Its auditors check companies' financial reports for errors and fraud before investors rely on them, while its consultants design strategy, install business software, and defend clients against cyberattacks. Clients pay fees for each audit or project, and each country's Deloitte firm is a separate business owned by its local partners. Deloitte was founded in London in 1845 and is based in New York.
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$17.1M
Headquarters
Madrid, Spain
Founded
1845
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Simplify's Take
What believers are saying
- Growth keeps hiring going: revenue rose 5.7% to $74.5 billion and staff neared 500,000 in the year to May 2026.
- AI is part of the job: in October 2025, Deloitte opened the Claude assistant to 470,000 people, Anthropic's largest rollout.
- Making partner pays off: Deloitte UK's 784 equity partners averaged £1.125 million in profit in the year to May 2026.
What critics are saying
- Tech consulting is lagging: it grew 2.5% in the year to May 2026, the slowest of Deloitte's four businesses.
- Back-office benefits are shrinking: Deloitte US will halve parental leave to 8 weeks for internal staff in January 2027.
- Federal work brings scrutiny: Deloitte agreed to pay $21.5 million in August 2026 over claims diversity targets swayed promotions.
What makes Deloitte unique
- Deloitte is the biggest Big Four accounting firm: fiscal 2025 revenue of $70.5 billion beat PwC's $56.9 billion.
- Consulting runs deeper here: Deloitte kept its consultants in 2003 after PwC, EY, and KPMG sold or spun off theirs.
- Deloitte leads cyber consulting: it took 32% of worldwide security consulting revenue in 2025, research firm Gartner says.
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Benefits
Professional Development Budget
Hybrid Work Options
Company News
Business Insider convened 15 HR and C-suite leaders in Davos to discuss how AI is reshaping hiring and talent pipelines. The roundtable, presented by Indeed, revealed growing concerns about entry-level positions and skills assessment. Deloitte's Elizabeth Faber emphasised maintaining a "human-led, technology-powered" approach whilst carefully navigating reduced junior hiring. TCW's Melissa Stolfi noted her firm has downsized its analyst class but maintains a pyramid structure to preserve apprenticeship culture and future leadership pipelines. Indeed's chief economist Svenja Gudell warned that whilst tech employers now demand five-plus years' experience, this creates future talent shortages if junior hiring continues declining. Salesforce's Nathalie Scardino said her company receives two million applications annually and has shifted focus from years of experience to learning aptitude. Manpower Group's Becky Frankiewicz noted AI can process candidates faster whilst reducing bias, potentially unlocking opportunities beyond traditional qualifications.
Deloitte plans to hire 50,000 employees in India and is evaluating Mangaluru, Karnataka, as a potential new location, according to South Asia CEO Romal Shetty. The company currently employs 140,000 people in India, representing one in four Deloitte employees globally. Shetty said India hosts 50% of all global capability centres worldwide, with significant growth potential in Tier II and Tier III cities. He proposed creating digital economic zones integrating GCCs, GPU-based data centres, startups and academic institutions to accelerate expansion. The CEO called for streamlining GCC setup processes from six months to two weeks, whilst acknowledging infrastructure constraints around energy and water for data centres. Shetty noted Mangaluru offers advantages including talent availability and real estate, adding the company's presence there is a matter of timing.
Deloitte has invested in Kihomac to enhance U.S. drone manufacturing, aiming to strengthen national security and supply chains. This investment will allow Kihomac, a veteran-owned company, to expand production in Utah and mass-produce drones for U.S. government agencies and businesses. Deloitte's support will create manufacturing jobs and secure the supply chain for American customers.
Deloitte has acquired 100% of Virtus Partners, founded by Gonzalo and Marcelo Larraguibel, to enhance its strategic consulting business in Chile. This acquisition aims to offer comprehensive solutions from strategy design to execution. Deloitte's CEO, Christian Durán, emphasized the significance of this move in strengthening their market position. The merger combines Deloitte's global capabilities with Virtus Partners' local expertise, offering a unique strategic consulting platform in Chile.
Deloitte Canada has acquired Toronto-based fintech firm Allevar, enhancing its capabilities in regulatory compliance and technology solutions. Allevar specializes in fraud management, AML, payment systems, and KYC regulations, crucial for Canadian banks and the financial services industry. Allevar's leadership, including CEO Dan Wood, will join Deloitte's Regulatory Risk practice. This acquisition aligns with Deloitte's strategy for growth in the digital and AI age.