Ernst & Young LLP-posted 4 months ago
$205,000 - $235,000/Yr
Full-time • Senior
New York, NY
5,001-10,000 employees
Professional, Scientific, and Technical Services

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms DevOps & Platform Architecture Director will collaborate with Business Leaders, AI/ML Engineers, Data Scientists, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients.

  • Define and implement scalable infrastructure for secure ingestion, storage, and orchestration of external data.
  • Design architecture for modular, multi-agent workflows and persistent data layers (vector stores, relational DBs, object storage).
  • Lead infrastructure setup across environments (CI/CD, containerization, IaC, observability).
  • Ensure compliance with relevant security/privacy frameworks (SOC2, HIPAA, GDPR depending on data source).
  • Architect integrations across AI pipelines, dashboards (e.g., Streamlit, PowerBI), and external API delivery systems.
  • Collaborate with AI and Data Engineering leads to operationalize prototypes into high-reliability systems.
  • A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
  • DevOps or cloud platform experience in data or AI-centric environments.
  • Deep knowledge of CI/CD, IaC (Terraform/CDK), Kubernetes, containerization, and monitoring stacks.
  • Experience building multi-tenant cloud systems with strict access controls.
  • Hands-on with data privacy tooling (data masking, encryption, audit trails).
  • Comfortable supporting Python-based ML workflows (API frameworks like FastAPI, Flask, etc.).
  • Excellent judgment around buy-vs-build tradeoffs and third-party component integration.
  • The ability and willingness to travel and work in excess of standard hours when necessary.
  • Experience working in a startup and/or management/strategy consulting.
  • Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
  • Collaborative, problem-solving, and growth-oriented mindset.
  • Comprehensive compensation and benefits package.
  • Base salary range of $205,000 to $235,000.
  • Medical and dental coverage.
  • Pension and 401(k) plans.
  • Wide range of paid time off options.
  • Flexible vacation policy.
  • Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.
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