EY-Parthenon - Strategy and Execution - Growth Platforms - Software Engineer - Sr Assoc/Consultant
About The Position
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 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 plays a pivotal role in translating strategy into execution—designing and scaling modern software platforms, AI‑enabled tools, and internal products that create measurable value for Fortune 500 and growth‑stage clients alike. This role sits at the intersection of engineering excellence, applied AI, and business impact—partnering closely with executives, product leaders, and multidisciplinary teams to deliver systems that can be adopted, trusted, and scaled.
Requirements
- 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.
Nice To Haves
- 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.
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 productionize models and agents, ensuring seamless integration into real‑world workflows.
Benefits
- medical and dental coverage
- pension and 401(k) plans
- a wide range of paid time off options
- flexible vacation policy
- designated EY Paid Holidays
- Winter/Summer breaks
- Personal/Family Care
- other leaves of absence
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
