Note: The job is a remote job and is open to candidates in USA. EY is a globally connected professional services organization focused on assurance, consulting, tax, strategy, and transactions. EY is seeking an AFE Cell Lead to own end-to-end delivery of secure, production-grade AI-native systems for client engagements, while serving as the technical authority, trusted client advisor, and hands-on engineering lead. The role directs a small technical cell, manages delivery and deployment tradeoffs, and ensures solutions meet safety, integrity, regulatory, and cost constraints.
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
Skills
- • Strong outcome ownership: able to take accountability for delivering a business result under real-world constraints, not just completing technical tasks
- • Excellent client presence: credible with both technical teams and senior business stakeholders, and able to build trust quickly in high-stakes settings
- • Genuinely hands-on: comfortable diving deep into code, data, and messy legacy systems while still leading the engagement
- • Strong technical judgment in complex, distributed, AI-enabled systems, with the ability to make sound decisions autonomously
- • 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: balance ideal design against regulatory, organizational, and environmental realities
- • 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)
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- A wide range of paid time off options
- Team-led and leader-enabled hybrid work model, with most people in external, client-serving roles expected to work together in person 40–60% of the time over the course of an engagement, project or year
- Flexible vacation policy
- EY Paid Holidays
- Winter/Summer breaks
- Personal/Family Care time off
- Other leaves of absence when needed to support physical, financial, and emotional well-being
Company Overview
Company H1B Sponsorship