Senior Associate/Consultant — AI Tooling & Platform Eng

EY-Parthenon

Dallas (TX)

Hybrid

USD 130,000 - 185,000

Full time

14 days+

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Benefits offered by this job

Base salary $130k–$185k
Hybrid working model
Medical and dental coverage
Pension and 401(k)

Job summary

EY-Parthenon in the United States is seeking a Software Engineering Senior Associate/Consultant to help design and deliver production-grade software systems and AI-enabled tooling for client engagements and internal platforms.

You'll architect and scale core platforms, collaborate with AI/ML engineers to productionize models, and implement secure, reliable, and scalable cloud-native solutions using languages such as Python, Java, Scala, and TypeScript. Hybrid work model with travel as needed.

Qualifications

  • Bachelor's degree or higher with relevant experience in software development.
  • Hands-on experience deploying AI-enabled applications or tooling into production.
  • Strong proficiency in APIs, distributed systems, and cloud services.

Responsibilities

  • Architect, build, and scale core software platforms that integrate data, AI services, and user-facing applications.
  • Assist in the development of AI-powered tools and copilots.
  • Design and maintain robust service architectures (APIs, event-driven systems, pipelines).
  • Establish engineering best practices across code quality, testing, CI/CD, observability, and performance.
  • Collaborate with AI/ML engineers to productionize models and agents.

Skills

Python
Java
Scala
TypeScript
AWS
GCP
Docker
Kubernetes
APIs
Distributed systems
Security
CI/CD
AI tooling
Communication

Education

Bachelor's degree

Tools

AWS
GCP
Docker
Kubernetes

Job description

EY-Parthenon in the United States is seeking a Software Engineering Senior Associate/Consultant to help design and deliver production-grade software systems and AI-enabled tooling for client engagements and internal platforms.

You'll architect and scale core platforms, collaborate with AI/ML engineers to productionize models, and implement secure, reliable, and scalable cloud-native solutions using languages such as Python, Java, Scala, and TypeScript. Hybrid work model with travel as needed.

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