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About the Role

We are seeking a hands-on Lead Forward Deployed Engineer (FDE) to own the end-to-end delivery of AI-native systems into a single client engagement in highly regulated industries such as tax, finance, and risk. As the technical authority and outcome owner within an Advanced Forward Engineering (AFE) delivery cell, you are accountable for turning ambiguous, high-stakes business problems into working, secure, production-grade solutions under real client constraints. The AFE Cell Lead is embedded directly with the client and remains hands-on, diving deep into the code and the client’s environment as needed, while owning tradeoffs, stakeholder relationships, and the trust that determines whether the engagement succeeds. Each cell is a small pod, typically consisting of a Cell Lead Engineer, a Builder / Implementation Engineer, and a Data Engineer, assigned to one customer. This role leads that cell, sets its technical direction, interfaces with the client, and feeds structured field reality back into the product and architecture feedback loop. It is ideal for a seasoned engineer who combines deep technical judgment with strong client presence and a bias toward delivering outcomes.

Responsibilities

Own end-to-end outcome delivery for the cell, including scoping, tradeoffs, technical direction, and production readiness, taking accountability for the business outcome, not just the code.
Embed directly with the client to define the real problem and translate ambiguous business needs into an executable technical solution under regulatory and environmental constraints.
Serve as the primary technical interface and trusted advisor to client stakeholders, managing expectations, communicating tradeoffs, and sustaining the trust that drives adoption.
Stay hands-on, personally designing and building critical parts of the solution, and diving deep into the client’s systems, data, and codebase when the engagement requires it.
Deploy, adapt, and stabilize solutions in the client environment using supported templates and profiles, owning release readiness and runtime accountability for what the cell ships.
Direct the work of the cell’s Implementation Engineer and Data Engineer, ensuring integrations, orchestration, and data readiness come together into a coherent, production-grade outcome.
Ensure every deployment meets safety, integrity, and cost constraints, partnering with control authorities and the Distinguished AFE on safe-to-ship decisions for regulated environments.

Requirements

8+ years delivering complex enterprise systems, ideally in regulated or client-facing contexts.
Hands-on engineering depth across integration-heavy architectures, cloud platforms, and distributed systems.
Experience with modern AI-enabled application stacks (e.g., agentic systems, orchestration frameworks, LLM-backed services).
Proven ability to operate in forward-deployed, customer-facing, or solutions-architecture roles, owning outcomes end to end.
Demonstrated ability to lead a small technical team while remaining an individual contributor.
Strong stakeholder-management skills, including managing client expectations under pressure.
Solid understanding of software delivery lifecycle, quality gates, and production readiness in enterprise settings.
Bachelor’s or Master’s degree in Computer Science or related technical field.
Experience deploying solutions into client environments (cloud, on-prem, hybrid, or air-gapped).
Experience working within AI governance, security, or cost controls in production environments.
Exposure to regulated delivery contexts (e.g., financial services, tax, healthcare, risk platforms).

Skills

Strong outcome ownership
Excellent client presence
Genuinely hands-on
Strong technical judgment in complex, distributed, AI-enabled systems
Effective at communicating complex technical tradeoffs clearly and with evidence to varied audiences (technical / executive)
Comfortable operating with autonomy in small, senior teams, often solo at a client site
Pragmatic mindset

Location

Anywhere in Country

Work Type

Hybrid

Experience Level

8+ years

Education Level

Bachelor's or Master's degree in Computer Science or related technical field

Salary/Compensations

$125,500 to $230,200
$150,700 to $261,600

Benefits

Medical and dental coverage
Pension and 401(k) plans
Wide range of paid time off options
Flexible vacation policy
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

About the Company

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Equal Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.