
Forward Deployed Engineer (AI/Agentic Engineer)
Deloitte · Austin, TX
- On site
- Full-time
- $282,000 / year
- Austin, TX
Job highlights
- Lead global Forward Deployed Engineering team for Zora AI platform.
- Drive AI agent deployments across enterprise systems at scale.
- Develop playbooks and standards for repeatable client success.
- Manage executive client relationships and technical escalations.
- Translate field feedback into product improvements for AI platform.
About the role
Role Summary
Zora AI is Deloitte's AI agent platform delivering role-/function-specific agents that integrate with enterprise systems and workflows. As the Lead, Forward Deployed Engineering (FDE), you will define and run the global FDE organization-setting the charter, operating model, standards, and capacity needed to deliver successful deployments at scale. You will lead multiple FDE teams across US, EMEA, and APAC, oversee critical client engagements, and partner with Product, Engineering, Cyber, and Risk to turn field learnings into repeatable delivery patterns and durable platform improvements.
Recruiting for this role ends on May 31, 2026.
What You'll Do
- Define the FDE charter and operating model: Establish mission, engagement model, intake/prioritization, team structure, and ways of working across regions and time zones.
- Lead multiple FDE teams globally: Recruit, coach, and performance-manage FDE managers/leads and individual contributors across US, EMEA, and APAC; build coverage models and on-call/escalation paths.
- Own delivery excellence and repeatability: Create standardized implementation playbooks, reference architectures, quality gates, and reusable assets to reduce bespoke work and improve time-to-value.
- Be accountable for successful deployments: Oversee multiple concurrent client implementations, ensuring scope clarity, environment readiness, risk controls, and predictable outcomes.
- Participate in key client engagements: Serve as executive technical lead on priority accounts-leading workshops, shaping solution approach, handling escalations, and building trusted client relationships.
- Translate field signals into product improvement: Create closed-loop mechanisms to convert recurring deployment friction into structured requirements; influence roadmap, connector strategy, observability, and governance features.
- Establish best practices for agent deployments: Standardize patterns for human-in-the-loop approvals, exception handling, evaluation/monitoring, security/privacy, and auditability in enterprise contexts.
- Partner across Deloitte and alliances: Coordinate with Sales, Delivery, Alliances, and Global teams to support pursuits, packaging, and scalable rollout across industries and geographies.
- Run governance and metrics: Track delivery KPIs (time-to-value, success rates, incident trends), manage capacity planning, and drive continuous improvement via retrospectives and post-implementation reviews.
- Risk, security, and compliance leadership: Ensure implementations align to Deloitte/client security requirements, data handling standards, and AI governance expectations; lead resolution of high-severity risks.
What You'll Need
- 10-15+ years in software engineering, solutions/forward deployed engineering, platform delivery, or technical program leadership in enterprise environments; including leadership of multi-team organizations.
- Demonstrated experience leading complex customer deployments involving cloud infrastructure, identity/SSO, data access, and integration with enterprise systems.
- Strong understanding of GenAI/LLM application delivery (agent workflows, tool orchestration, retrieval-augmented generation), including operational risks and controls.
- Proven ability to establish standards and operating rhythm (playbooks, quality gates, escalation models, delivery KPIs) across distributed teams.
- Executive-level stakeholder management: able to communicate with client IT/security leaders and business owners; adept at navigating ambiguity and driving decisions.
- Experience working across US and global clients, including delivery coordination across time zones and regional constraints (data residency, security, procurement).
- Limited immigration sponsorship may be available.
- Ability to travel 0-10%, on average, based on the work you do.
Nice to have
- Experience building or scaling an FDE/solutions engineering organization globally.
- Familiarity with enterprise ecosystems such as SAP, Oracle, ServiceNow, Salesforce, and common integration approaches.
- Background in regulated industries and governance-heavy environments (auditability, privacy, retention, model risk).
- Experience partnering with product teams on platformization (turning bespoke work into reusable product capabilities).
- Prior enterprise delivery leadership experience driving multi-workstream execution, program governance, and executive steering across complex stakeholder environments.
Key Deliverables
- FDE organization charter: mission, engagement model, service catalog, RACI (Responsible/Accountable/Consulted/Informed), regional coverage, escalation and support model.
- Global delivery playbook: reference architectures, environment readiness checklist, security/privacy patterns, evaluation/monitoring standards, and go-live criteria.
- Reusable implementation assets: deployment templates, connector/config patterns, runbooks, observability dashboards, and troubleshooting guides.
- Operating cadence: intake triage, delivery governance, performance reporting, post-mortems, and continuous improvement loop.
- Client engagement outcomes: successful pilots scaled to production; documented value realization and adoption plan.
- Product feedback pipeline: prioritized backlog of field-driven platform gaps with business case and impact metrics.
How Success Will Be Measured
- Time-to-value at scale: consistent reduction in time from kickoff to first successful end-to-end workflow; faster pilot-to-production conversion.
- Deployment reliability and quality: higher workflow success rates, lower incident volume, faster MTTR (mean time to resolution), fewer repeat defects across clients.
- Repeatability and efficiency: decreasing custom engineering per deployment; increased reuse of standard assets; improved throughput per FDE team.
- Client outcomes and satisfaction: improved client CSAT/NPS-style feedback, referenceable successes, fewer escalations, stronger renewal/expansion pull-through (where applicable).
- Operational maturity: clear governance, predictable capacity planning, strong cross-geo collaboration, and consistent adherence to security/privacy and AI governance controls.
- Team health and retention: strong hiring, onboarding, development, and retention of high-performing FDE talent across regions.
Working Model & Stakeholders
Working model: Hybrid with travel for priority client workshops, escalations, and go-lives; leads a distributed team across US, EMEA, APAC with follow-the-sun collaboration.
Core stakeholders:
- Product Management (roadmap, requirements, prioritization)
- Platform & Application Engineering (core capabilities, connectors, releases)
- Applied AI / Data Science (agent behavior, evaluation, tuning)
- Cybersecurity & Privacy (security controls, reviews, data protection)
- Risk / Legal / Compliance (AI governance, auditability)
- Sales, Alliances, and Delivery leaders (pursuits, packaging, rollout)
- Client IT, Security, and Process Owners (environments, access, adoption)
- Global stakeholders (regional delivery leaders, COEs, enablement)
Compensation Information
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 $137,000 to $282,000.
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.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Key skills/competency
- Forward Deployed Engineering
- AI/Agentic Engineering
- GenAI/LLM Application Delivery
- Enterprise Systems Integration
- Cloud Infrastructure Deployment
- Technical Program Leadership
- Global Team Leadership
- Stakeholder Management
- Risk Management
- Platform Delivery
Skills & topics
- Forward Deployed Engineer
- AI Engineer
- Agentic Engineer
- Deloitte
- Zora AI
- GenAI
- LLM
- Enterprise Software
- Cloud Deployment
- Technical Leadership
- Global Team Management
- Solutions Engineering
- Platform Delivery
- AI Governance
- Customer Deployments
How to get hired
- Tailor your resume: Highlight 10-15+ years in software engineering, FDE, or technical leadership with enterprise experience and GenAI/LLM knowledge.
- Showcase deployment leadership: Detail experience with complex customer deployments involving cloud, identity, data access, and enterprise system integration.
- Emphasize stakeholder skills: Provide examples of executive-level communication and decision-making with client IT and business leaders.
- Address global experience: Include experience coordinating deliveries across time zones and understanding regional constraints.
- Prepare for technical and behavioral interviews: Be ready to discuss AI agent workflows, operational risks, and leading distributed teams.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the Forward Deployed Engineering (FDE) role at Deloitte focusing on AI agents?
- The Forward Deployed Engineer (FDE) role at Deloitte, specifically for the Zora AI platform, focuses on leading the global FDE organization. This involves defining the team's charter, operating model, and standards to ensure successful, large-scale deployments of AI agents that integrate with enterprise systems. The role requires leading multiple FDE teams across different regions and driving delivery excellence.
- What are the core responsibilities of the Lead FDE for Zora AI at Deloitte?
- The core responsibilities include defining the FDE charter and operating model, leading and managing global FDE teams, ensuring delivery excellence through standardized playbooks and assets, overseeing client deployments, acting as an executive technical lead on key engagements, translating field learnings into product improvements, establishing best practices for agent deployments, partnering with internal and external teams, and managing governance and risk.
- What qualifications are essential for the Forward Deployed Engineer (AI/Agentic Engineer) position at Deloitte?
- Essential qualifications include 10-15+ years in software engineering, solutions/forward deployed engineering, or technical program leadership in enterprise environments, with experience leading multi-team organizations. Strong understanding of GenAI/LLM application delivery, experience with complex customer deployments (cloud, identity, data access, enterprise integration), and executive-level stakeholder management skills are also crucial.
- How does Deloitte ensure successful AI agent deployments with the Zora AI platform?
- Deloitte ensures successful deployments by establishing standardized implementation playbooks, reference architectures, quality gates, and reusable assets. The FDE team is accountable for overseeing client implementations, ensuring scope clarity, environment readiness, and risk controls. Best practices for agent deployments, including human-in-the-loop approvals, exception handling, and security/privacy, are standardized.
- What is the typical career path for a Forward Deployed Engineer at Deloitte after excelling in this role?
- After excelling as a Lead FDE, career paths at Deloitte could lead to further leadership roles within the AI or platform engineering organizations, potentially managing larger global teams or taking on strategic platform development responsibilities. Opportunities may also exist in broader solution architecture, client executive roles, or driving product strategy based on field expertise.
- How does Deloitte handle global coordination for FDE teams supporting the Zora AI platform?
- Deloitte manages global coordination by establishing operating models that work across different regions and time zones, building coverage models, and on-call/escalation paths. The role involves leading FDE teams across US, EMEA, and APAC, coordinating with global teams, and understanding regional constraints like data residency and security. The working model is hybrid with follow-the-sun collaboration.
- What is the salary range for the Forward Deployed Engineer (AI/Agentic Engineer) role at Deloitte?
- The estimated salary range for this role at Deloitte is $137,000 to $282,000 annually. Compensation decisions are based on various factors, and it's not typical for individuals to be hired at or near the top of the range.
- Can I apply for the Forward Deployed Engineer role if I require immigration sponsorship?
- The job description mentions that limited immigration sponsorship may be available for this role. It's advisable to inquire further about specific sponsorship possibilities during the application or interview process.