
AFE Cell Lead - AI Advanced Forward Engineering - Manager
Ernst and Young11 days ago
Base Salary
$126k - $262k/yr
Responsibilities
- Own end-to-end business and technical outcome delivery for an AFE cell, including scoping, tradeoffs, technical direction, and production readiness.
- Embed with clients to define ambiguous problems and translate them into executable technical solutions under regulatory and environmental constraints.
- Serve as the primary technical interface and trusted advisor for client stakeholders while managing expectations and communicating tradeoffs.
- Personally design and build critical solution components and work directly in client systems, data, and codebases.
- Deploy, adapt, stabilize, and maintain runtime accountability for solutions in client environments.
- Direct the Implementation Engineer and Data Engineer and ensure integrations, orchestration, and data readiness form a production-grade outcome.
- Ensure deployments meet safety, integrity, and cost constraints and partner on safe-to-ship decisions for regulated environments.
Requirements
- At least 8 years of experience delivering complex enterprise systems, ideally in regulated or client-facing contexts.
- Hands-on engineering depth across integration-heavy architectures, cloud platforms, distributed systems, and modern AI-enabled application stacks such as agentic systems, orchestration frameworks, and LLM-backed services.
- Experience in forward-deployed, customer-facing, or solutions-architecture roles with end-to-end outcome ownership.
- Demonstrated ability to lead a small technical team while remaining an individual contributor.
- Strong client presence, stakeholder-management, communication, technical judgment, and autonomous decision-making skills.
- Understanding of software delivery lifecycle, quality gates, and enterprise production readiness.
- Bachelor’s or Master’s degree in Computer Science or a related technical field is preferred.
- Experience deploying solutions to cloud, on-premises, hybrid, or air-gapped client environments is preferred.
- Experience with AI governance, security, cost controls, and regulated delivery contexts such as financial services, tax, healthcare, or risk platforms is preferred.
Benefits
- Comprehensive compensation and benefits package including medical and dental coverage, pension, and 401(k) plans.
- Flexible vacation policy plus paid holidays, winter and summer breaks, personal and family care time, and other leaves of absence.
- Hybrid, team-led and leader-enabled work model; external client-serving employees are generally expected to work in person 40–60% of the time during an engagement, project, or year.
- Flexible work location listed as anywhere in the country.
Categories
Forward Deployed