Senior AI-Native Implementation Engineer

Ernst & Young Oman; Dallas (TX); Hybrid; USD 110,000 - 190,000; Full time

Job summary

EY seeks senior engineers for the Advanced Forward Engineering team to design, build, and deliver AI-native systems embedded with clients in regulated environments. You will own end-to-end delivery from shaping to sustainment and write production-quality code, collaborating with platform, architecture, and security teams.

The role emphasizes hands-on engineering and ownership of complex, ambiguous problems in a client-facing context, with a hybrid work model and a focus on reliable, auditable

Qualifications

• 5+ years of delivering complex software systems in enterprise or regulated environments.
• Experience in customer-facing or consulting engineering roles.
• Hands-on experience building and deploying distributed systems, APIs, integrations, or data-intensive applications.
• 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.
• Experience writing and maintaining production-grade code that operates under compliance, performance, and reliability constraints.
• Ability to work effectively with engineering, architecture, security, and governance teams.

Responsibilities

• Embed directly with client teams to frame problems, identify high-leverage opportunities, and define delivery paths under regulatory and operational constraints.
• Own end-to-end delivery outcomes for engagements, from initial shaping through implementation, deployment, and early sustainment.
• Implement and manage AI-enabled workflows, agentic systems, orchestration logic, and integrations using approved platform capabilities and delivery templates.
• Write and review production-quality code (e.g., LangGraph, Python, orchestration glue, integration layers) aligned with enterprise delivery standards.
• Make real-time delivery tradeoffs balancing functionality, safety, cost, and timeline, and clearly explain those decisions to stakeholders.
• Ensure solutions comply with security, AI integrity, and FinOps constraints, working with control authorities to achieve safe-to-ship approval.
• Capture and communicate field learnings, edge cases, and failure modes, contributing evidence-based feedback that improves platform evolution.
• Collaborate with integration, platform, and architecture teams to reduce rework and enable repeatable delivery patterns.

Skills

Ownership of complex problems

Systems thinking

Client-facing

Hands-on coding

Communication

Reliability & repeatability

AI tooling adaptability

Education

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

Tools

LangGraph

Python

APIs

Integrations

Orchestration frameworks

Job description

EY seeks senior engineers for the Advanced Forward Engineering team to design, build, and deliver AI-native systems embedded with clients in regulated environments. You will own end-to-end delivery from shaping to sustainment and write production-quality code, collaborating with platform, architecture, and security teams.

The role emphasizes hands-on engineering and ownership of complex, ambiguous problems in a client-facing context, with a hybrid work model and a focus on reliable, auditable