EY-Parthenon - Strategy and Execution - Growth Platforms - Software Engineering - Director

About the role

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.

The Software Engineering Director for AI Tooling plays a pivotal role in translating strategy into execution—designing and scaling modern software platforms, AIenabled tools, and internal products that create measurable value for Fortune 500 and growthstage clients alike.

Responsibilities

• Lead the design and delivery of production-grade software systems and AI-enabled tooling that underpin high-visibility client engagements and internal platforms.
• Own architectural decisions, development standards, and technical direction across multiple workstreams.
• Architect, build, and scale core software platforms that integrate data, AI services, and user-facing applications.
• Lead the development of AI-enabled 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.
• Partner directly with business leaders and C-suite executives to translate strategic objectives into scalable technical solutions.
• Mentor senior engineers and technical leads, fostering a culture of ownership, craftsmanship, and continuous improvement.

Requirements

• A bachelor’s degree in Computer Science, Engineering, or a related technical field and 5+ years of professional engineering experience; or a graduate degree and approximately 3+ years of relevant experience.
• Demonstrated experience in senior software engineering, platform engineering, or technical leadership roles.
• 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.

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.

Skills

• Strong engineering judgment.
• Fluency in modern AI tooling.
• The ability to operate comfortably across strategy and execution.

Benefits

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.
• The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.
• In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Pay

• The base salary range for this job in all geographic locations in the US is $205,000 to $235,000.

Schedule

• 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.