Senior AI‑Native Implementation Engineer

EY; Phoenix (AZ); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Job summary

EY is seeking senior engineers for the Advanced Forward Engineering team to design, build, and deliver AI-native systems for highly regulated client environments. The role blends end-to-end delivery ownership with hands-on engineering execution and requires shaping solutions that are deployable, auditable, and trusted in production.

As part of the Office of the CTO, you will collaborate with platform, architecture, security, and governance partners to ensure safe, compliant delivery while

Qualifications

• 5+ years delivering complex software in enterprise or regulated environments.
• Hands-on experience building distributed systems and APIs.
• Practical experience with modern AI application stacks (e.g., LLM-backed systems, agentic workflows, orchestration frameworks).
• Proven track record owning delivery in real-world conditions.
• Ability to work effectively with engineering, architecture, security, and governance teams.

Responsibilities

• Embed directly with client teams to frame problems within regulatory and operational constraints.
• Own end-to-end delivery outcomes from shaping through implementation, deployment and sustainment.
• Implement and manage AI-enabled workflows, agentic systems, orchestration logic and integrations.
• Write and review production-quality code aligned with enterprise delivery standards.
• Make real-time delivery tradeoffs balancing functionality, safety, cost and timeline, and explain decisions to stakeholders.
• Ensure solutions comply with security, AI integrity and FinOps constraints, achieving safe-to-ship approval.
• Capture field learnings and contribute feedback to improve platform evolution.
• Collaborate with integration, platform and architecture teams to enable repeatable delivery patterns.

Job description

EY is seeking senior engineers for the Advanced Forward Engineering team to design, build, and deliver AI-native systems for highly regulated client environments. The role blends end-to-end delivery ownership with hands-on engineering execution and requires shaping solutions that are deployable, auditable, and trusted in production.

As part of the Office of the CTO, you will collaborate with platform, architecture, security, and governance partners to ensure safe, compliant delivery while