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

About the role

At EY-Parthenon’s Growth Platforms team, 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.

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.

Skills and Attributes for Success

• Assist in the development of backend and full-stack systems using modern languages and frameworks (e.g., Python, Java, Scala, TypeScript).
• 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.

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.

Qualifications

• 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.

Benefits

• Comprehensive compensation and benefits package where you’ll be rewarded based on performance and recognized for the value you bring to the business.
• Medical and dental coverage.
• Pension and 401(k) plans.
• A 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.

Pay

The base salary range for this job in all geographic locations in the US is $130,000 to $185,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Schedule

Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40–60% of the time over the course of an engagement, project or year.