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Parthenon - Strategy and Execution - Growth Platforms - Software Engineer - Sr Assoc​/Consultant

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: EY
Full Time position
Listed on 2026-08-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 130000 - 185000 USD Yearly USD 130000.00 185000.00 YEAR
Job Description & How to Apply Below
Position: EY-Parthenon - Strategy and Execution - Growth Platforms - Software Engineer - Sr Assoc/Consultant
Location: St. Louis

Location:

New York, Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle

The opportunity

EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real‑world value. Within EY‑Parthenon, the Growth Platforms team focuses on building durable technology and AI capabilities that power long‑term enterprise growth. The Software Engineering Director for AI Tooling will design and scale modern software platforms, AI‑enabled tools, and internal products for Fortune 500 and growth‑stage clients.

Your key 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, including decision support systems, copilots, internal developer tools, and domain‑specific agents.
  • Design and maintain robust service architectures (APIs, event‑driven systems, batch and real‑time pipelines) optimized for reliability, security, and extensibility.
  • Establish engineering best practices across code quality, testing, CI/CD, observability, and performance.
  • Collaborate with AI/ML engineers to product ionize models and agents, ensuring seamless integration into real‑world workflows.
Skills and attributes for success

Successful candidates will bring strong engineering judgment, fluency in modern AI tooling, and the ability to operate comfortably across strategy and execution.

  • Assist in the development of backend and full‑stack systems using modern languages and frameworks (e.g., Python, Java, Scala, Type Script).
  • Design and manage cloud‑native architectures on platforms such as AWS or GCP, using containerization and infrastructure‑as‑code.
  • Build AI‑ready application layers that integrate LLMs, retrieval systems, vector databases, and model orchestration frameworks.
  • Develop internal tooling and developer platforms that improve velocity, reliability, and reuse across teams.
  • Define and enforce standards for security, privacy, reliability, and compliance (e.g., SOC2, HIPAA, enterprise governance).
  • Translate ambiguous business problems into concrete system designs and incremental delivery plans.
  • Communicate complex technical concepts clearly to non‑technical stakeholders.
To qualify for the role, you must have
  • Outstanding academic performance, with a bachelor’s degree and at least 2 years of related work experience; or a graduate degree and approximately 18 months of related work experience.
  • Strong proficiency in modern software development practices, including APIs, distributed systems, and cloud services.
  • Hands‑on experience deploying AI‑enabled applications or tooling into production environments.
  • Comfort operating in fast‑paced, client‑facing environments with evolving requirements.
  • You must either reside in or be in a commutable distance to your office location for this position.
  • The ability and willingness to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs.
Ideally, you will have
  • Experience working in management consulting, product‑led organizations, or high‑growth startups.
  • Familiarity with modern AI ecosystems, including LLM frameworks, agent architectures, and prompt/tool orchestration.
  • A strong product mindset—understanding not just how to build systems, but how they will be adopted and sustained.
  • Knowledge of how to leverage firm‑approved AI tools in a business setting, including Microsoft Copilot.
What we offer you
  • A comprehensive compensation and benefits package with base salary range $130,000 to $185,000, medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  • A hybrid work model: most client‑serving roles to work together in person 40–60% of the time.
  • A flexible vacation policy with granted time off for EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.

EY accepts applications for this position on an ongoing basis.

EY is an equal opportunity employer. EY provides equal employment opportunities to applicants and…

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