AI Forward Engineering Lead - Hands-On, Client-Facing

EY; Miami (FL); On-site; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Medical coverage

Dental coverage

Pension/401(k)

Paid time off

Job summary

EY seeks a hands-on Lead Forward Deployed Engineer to own end-to-end AI-native system delivery for a single client in regulated industries. You will be embedded with the client, guiding technical direction, tradeoffs, production readiness, and outcomes while balancing safety and cost constraints.

You’ll lead a small cell, design critical components, and stay hands-on when required, building trusted relationships with stakeholders and delivering measurable business value.

Qualifications

• 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 stacks (e.g., agentic systems, orchestration frameworks, LLM-backed services).
• Proven ability to lead a small technical team while remaining an individual contributor.
• Strong stakeholder-management skills and ability to manage client expectations under pressure.
• Understanding of SDLC, quality gates, and production readiness in enterprise settings.

Responsibilities

• Own end-to-end outcome delivery for the cell, including scoping, tradeoffs, technical direction, and production readiness.
• Embed directly with the client to translate business needs into executable technical solutions.
• Serve as the primary technical interface and trusted advisor to client stakeholders.
• Stay hands-on, designing and building critical parts of the solution when needed.
• Deploy, adapt, and stabilize solutions in the client environment with release readiness accountability.
• Direct the work of the cell’s engineers, ensuring integrations, orchestration, and data readiness.
• Ensure deployments meet safety, integrity, and cost constraints with governance partners.

Skills

Outcome ownership

Client presence

Hands-on coding

Technical judgment

Tradeoff communication

Autonomy in small teams

Pragmatic mindset

Education

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

Tools

Agentic systems

Orchestration frameworks

LLM-backed services

Job description

EY seeks a hands-on Lead Forward Deployed Engineer to own end-to-end AI-native system delivery for a single client in regulated industries. You will be embedded with the client, guiding technical direction, tradeoffs, production readiness, and outcomes while balancing safety and cost constraints.

You’ll lead a small cell, design critical components, and stay hands-on when required, building trusted relationships with stakeholders and delivering measurable business value.