About The Position

The opportunityWe 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 you are accountable for turning ambiguous, high-stakes business problems into working, secure, production-grade solutions under real client constraints.The Forward Deployed Engineering Manager owns the delivery of solution or infrastructure development services for AI/ML initiatives, applying strong technical capability and hands-on engineering experience. Responsible for the design, development, delivery, and maintenance of AI-enabled solutions or infrastructure while aligning relevant engineering standards and project delivery expectations. Understands business and user requirements and helps translate them into sound technical designs and implementation plans. Contributes to the integration of AI/ML capabilities into broader enterprise solutions, with a focus on quality, scalability, and user impact.

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 solution 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.

Nice To Haves

  • 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).

Responsibilities

  • Own end-to-end outcome delivery 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 team ships.
  • Direct the work of supporting Implementation Engineers and Data Engineers, 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 cyber stakeholders on safe-to-ship decisions for regulated environments.

Benefits

  • medical and dental coverage
  • pension and 401(k) plans
  • flexible vacation policy
  • designated EY Paid Holidays
  • Winter/Summer breaks
  • Personal/Family Care
  • other leaves of absence
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